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Sample records for video categorizing method

  1. Categorizing Video Game Audio

    DEFF Research Database (Denmark)

    Westerberg, Andreas Rytter; Schoenau-Fog, Henrik

    2015-01-01

    This paper dives into the subject of video game audio and how it can be categorized in order to deliver a message to a player in the most precise way. A new categorization, with a new take on the diegetic spaces, can be used a tool of inspiration for sound- and game-designers to rethink how...... they can use audio in video games. The conclusion of this study is that the current models' view of the diegetic spaces, used to categorize video game audio, is not t to categorize all sounds. This can however possibly be changed though a rethinking of how the player interprets audio....

  2. Statistical methods for categorical data analysis

    CERN Document Server

    Powers, Daniel

    2008-01-01

    This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. Companion website also available, at https://webspace.utexas.edu/dpowers/www/

  3. Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.

    Science.gov (United States)

    Jiang, Yu-Gang; Wu, Zuxuan; Wang, Jun; Xue, Xiangyang; Chang, Shih-Fu

    2018-02-01

    In this paper, we study the challenging problem of categorizing videos according to high-level semantics such as the existence of a particular human action or a complex event. Although extensive efforts have been devoted in recent years, most existing works combined multiple video features using simple fusion strategies and neglected the utilization of inter-class semantic relationships. This paper proposes a novel unified framework that jointly exploits the feature relationships and the class relationships for improved categorization performance. Specifically, these two types of relationships are estimated and utilized by imposing regularizations in the learning process of a deep neural network (DNN). Through arming the DNN with better capability of harnessing both the feature and the class relationships, the proposed regularized DNN (rDNN) is more suitable for modeling video semantics. We show that rDNN produces better performance over several state-of-the-art approaches. Competitive results are reported on the well-known Hollywood2 and Columbia Consumer Video benchmarks. In addition, to stimulate future research on large scale video categorization, we collect and release a new benchmark dataset, called FCVID, which contains 91,223 Internet videos and 239 manually annotated categories.

  4. Tobacco Content in Video Games: Categorization of Tobacco Typologies and Gamer Recall.

    Science.gov (United States)

    Forsyth, Susan R; Malone, Ruth E

    2017-11-15

    Tobacco content has been identified in popular video games played by adolescents. To date, there are no established instruments for categorizing tobacco content. We describe development and demonstrate the use of an instrument to categorize types of tobacco content. Interviews were conducted with 61 participants: 20 adolescents (mean age 17.7), and 41 adults (mean age 23.9), who discussed favorite games and recalled tobacco content. All games mentioned were examined for tobacco content by watching movies of game play on YouTube, examining individual game Wiki sites, and reviewing content descriptors provided by the Entertainment Software Rating Board (ESRB), Common Sense Media and the Internet Movie Database (IMDb). A typology of tobacco content was created and correlated with gamer recall of tobacco content. Participants together mentioned 366 games, of which 152 were unique. Tobacco content was verified in 39.5% (60/152) of games. Six categories of content were identified, including "no tobacco content." Of games containing tobacco, 88% (53/60) contained at least two categories of content. Games with more categories were associated with greater gamer recall of tobacco content. Tobacco content is present in video games and consciously recalled by players, with higher accuracy of recall associated with games featuring multiple types of tobacco content and more engaging, player-active content. Playing video games is now a daily part of most adolescents' lives. Tobacco content is present in many popular games. Currently there are no published instruments to assist in categorizing tobacco content in video games. This study describes a systematic approach to categorizing tobacco content in video games and demonstrates that games featuring more categories of tobacco content are associated with more accurate gamer recall of the presence of tobacco content when compared with games with fewer categories of content. Understanding the extent of such content will be essential

  5. Mapcurves: a quantitative method for comparing categorical maps.

    Science.gov (United States)

    William W. Hargrove; M. Hoffman Forrest; Paul F. Hessburg

    2006-01-01

    We present Mapcurves, a quantitative goodness-of-fit (GOF) method that unambiguously shows the degree of spatial concordance between two or more categorical maps. Mapcurves graphically and quantitatively evaluate the degree of fit among any number of maps and quantify a GOF for each polygon, as well as the entire map. The Mapcurve method indicates a perfect fit even if...

  6. A comparison of incomplete data methods for categorical data

    NARCIS (Netherlands)

    van der Palm, D.W.; van der Ark, L.A.; Vermunt, J.K.

    2016-01-01

    We studied four methods for handling incomplete categorical data in statistical modeling: (1) maximum likelihood estimation of the statistical model with incomplete data, (2) multiple imputation using a loglinear model, (3) multiple imputation using a latent class model, (4) and multivariate

  7. Empowering Visual Categorization with the GPU

    NARCIS (Netherlands)

    van de Sande, K.E.A.; Gevers, T.; Snoek, C.G.M.

    2011-01-01

    Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words model has become the most powerful method for visual categorization of images and video. Despite its high accuracy, a severe

  8. Accelerating Visual Categorization with the GPU

    NARCIS (Netherlands)

    van de Sande, K.E.A.; Gevers, T.; Snoek, C.G.M.

    2012-01-01

    Visual categorization is important to manage large collections of digital images and video, where textual meta-data is often incomplete or simply unavailable. The bag-of-words model has become the most powerful method for visual categorization of images and video. Despite its high accuracy, a severe

  9. A Video Method to Study Drosophila Sleep

    Science.gov (United States)

    Zimmerman, John E.; Raizen, David M.; Maycock, Matthew H.; Maislin, Greg; Pack, Allan I.

    2008-01-01

    Study Objectives: To use video to determine the accuracy of the infrared beam-splitting method for measuring sleep in Drosophila and to determine the effect of time of day, sex, genotype, and age on sleep measurements. Design: A digital image analysis method based on frame subtraction principle was developed to distinguish a quiescent from a moving fly. Data obtained using this method were compared with data obtained using the Drosophila Activity Monitoring System (DAMS). The location of the fly was identified based on its centroid location in the subtracted images. Measurements and Results: The error associated with the identification of total sleep using DAMS ranged from 7% to 95% and depended on genotype, sex, age, and time of day. The degree of the total sleep error was dependent on genotype during the daytime (P video. Both video and DAMS detected a homeostatic response to sleep deprivation. Conclusions: Video digital analysis is more accurate than DAMS in fly sleep measurements. In particular, conclusions drawn from DAMS measurements regarding daytime sleep and sleep architecture should be made with caution. Video analysis also permits the assessment of fly position and brief movements during sleep. Citation: Zimmerman JE; Raizen DM; Maycock MH; Maislin G; Pack AI. A video method to study drosophila sleep. SLEEP 2008;31(11):1587–1598. PMID:19014079

  10. CATEGORIZATION OF PORNOGRAPHIC VIDEO CLIPS ON THE INTERNET: A COGNITIVE ANTHROPOLOGICAL APPROACH

    OpenAIRE

    Vucurovic Vasic, Milica

    2013-01-01

    Anthropological study of the Internet pornography can refer to the cultural communication between the creators of the contents and authors of pornographic sites, as well as between the authors of sites and users, the latter being more relevant to this work as it assumes supracultural activities on the Internet and comprises the pornography users as a distinct population. The aim of this study is to determine, through the categorization of porn clips in the Internet, cognitive schemes and cult...

  11. A Method for Estimating Surveillance Video Georeferences

    Directory of Open Access Journals (Sweden)

    Aleksandar Milosavljević

    2017-07-01

    Full Text Available The integration of a surveillance camera video with a three-dimensional (3D geographic information system (GIS requires the georeferencing of that video. Since a video consists of separate frames, each frame must be georeferenced. To georeference a video frame, we rely on the information about the camera view at the moment that the frame was captured. A camera view in 3D space is completely determined by the camera position, orientation, and field-of-view. Since the accurate measuring of these parameters can be extremely difficult, in this paper we propose a method for their estimation based on matching video frame coordinates of certain point features with their 3D geographic locations. To obtain these coordinates, we rely on high-resolution orthophotos and digital elevation models (DEM of the area of interest. Once an adequate number of points are matched, Levenberg–Marquardt iterative optimization is applied to find the most suitable video frame georeference, i.e., position and orientation of the camera.

  12. A Method for Counting Moving People in Video Surveillance Videos

    Directory of Open Access Journals (Sweden)

    Mario Vento

    2010-01-01

    Full Text Available People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem. This paper presents a novel method, following this second approach, that is based on the use of SURF features and of an ϵ-SVR regressor provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective. In the experimental evaluation, the proposed method has been compared with the algorithm by Albiol et al., winner of the PETS 2009 contest on people counting, using the same PETS 2009 database. The provided results confirm that the proposed method yields an improved accuracy, while retaining the robustness of Albiol's algorithm.

  13. A Method for Counting Moving People in Video Surveillance Videos

    Directory of Open Access Journals (Sweden)

    Conte Donatello

    2010-01-01

    Full Text Available People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem. This paper presents a novel method, following this second approach, that is based on the use of SURF features and of an -SVR regressor provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective. In the experimental evaluation, the proposed method has been compared with the algorithm by Albiol et al., winner of the PETS 2009 contest on people counting, using the same PETS 2009 database. The provided results confirm that the proposed method yields an improved accuracy, while retaining the robustness of Albiol's algorithm.

  14. A Method for Counting Moving People in Video Surveillance Videos

    Science.gov (United States)

    Conte, Donatello; Foggia, Pasquale; Percannella, Gennaro; Tufano, Francesco; Vento, Mario

    2010-12-01

    People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem). This paper presents a novel method, following this second approach, that is based on the use of SURF features and of an [InlineEquation not available: see fulltext.]-SVR regressor provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective. In the experimental evaluation, the proposed method has been compared with the algorithm by Albiol et al., winner of the PETS 2009 contest on people counting, using the same PETS 2009 database. The provided results confirm that the proposed method yields an improved accuracy, while retaining the robustness of Albiol's algorithm.

  15. Performance Analysis of Video Transmission Using Sequential Distortion Minimization Method for Digital Video Broadcasting Terrestrial

    Directory of Open Access Journals (Sweden)

    Novita Astin

    2016-12-01

    Full Text Available This paper presents about the transmission of Digital Video Broadcasting system with streaming video resolution 640x480 on different IQ rate and modulation. In the video transmission, distortion often occurs, so the received video has bad quality. Key frames selection algorithm is flexibel on a change of video, but on these methods, the temporal information of a video sequence is omitted. To minimize distortion between the original video and received video, we aimed at adding methodology using sequential distortion minimization algorithm. Its aim was to create a new video, better than original video without significant loss of content between the original video and received video, fixed sequentially. The reliability of video transmission was observed based on a constellation diagram, with the best result on IQ rate 2 Mhz and modulation 8 QAM. The best video transmission was also investigated using SEDIM (Sequential Distortion Minimization Method and without SEDIM. The experimental result showed that the PSNR (Peak Signal to Noise Ratio average of video transmission using SEDIM was an increase from 19,855 dB to 48,386 dB and SSIM (Structural Similarity average increase 10,49%. The experimental results and comparison of proposed method obtained a good performance. USRP board was used as RF front-end on 2,2 GHz.

  16. The prioritization and categorization method (PCM) process evaluation at Ericsson : a case study

    NARCIS (Netherlands)

    Ohlsson, Jens; Han, Shengnan; Bouwman, W.A.G.A.

    2017-01-01

    Purpose: The purpose of this paper is to demonstrate and evaluate the prioritization and categorization method (PCM), which facilitates the active participation of process stakeholders (managers, owners, customers) in process assessments. Stakeholders evaluate processes in terms of effectiveness,

  17. Video scan rate conversion method and apparatus for achieving same

    Science.gov (United States)

    Mills, George T.

    1992-12-01

    In a video system, a video signal operates at a vertical scan rate to generate a first video frame characterized by a first number of lines per frame. A method and apparatus are provided to convert the first video frame into a second video frame characterized by a second number of lines per frame. The first video frame is stored at the vertical scan rate as digital samples. A portion of the stored digital samples from each line of the first video frame are retrieved at the vertical scan rate. The number of digital samples in the retrieved portion from each line of the first video frame is governed by a ratio equal to the second number divided by the first number, such that the retrieved portion from the first video frame is the second video frame.

  18. Methods of video and shearography inspection

    Science.gov (United States)

    Lansing, Matthew D.; Bullock, Michael W.; Gnacek, William J.

    1995-09-01

    The goal of this research effort was to study methods of video image correlation and electronic shearography for nondestructive evaluation of aerospace components. Methods of physical load application must be developed before interrogations with these methods may be used to qualify hardware. To that end, inspection procedures were developed for a variety of aerospace components and material systems. Experiments were also conducted from which the relationship between the control settings of the electronic shearography apparatus may be related to flaw detectability. A short feasibility study was conducted to determine the applicability of electronic shearography to the determination of the stress intensity factor of a Mode 1 crack tip by measurement of the localized zone of three dimensional plasticity

  19. Video markers tracking methods for bike fitting

    Science.gov (United States)

    Rajkiewicz, Piotr; Łepkowska, Katarzyna; Cygan, Szymon

    2015-09-01

    Sports cycling is becoming increasingly popular over last years. Obtaining and maintaining a proper position on the bike has been shown to be crucial for performance, comfort and injury avoidance. Various techniques of bike fitting are available - from rough settings based on body dimensions to professional services making use of sophisticated equipment and expert knowledge. Modern fitting techniques use mainly joint angles as a criterion of proper position. In this work we examine performance of two proposed methods for dynamic cyclist position assessment based on video data recorded during stationary cycling. Proposed methods are intended for home use, to help amateur cyclist improve their position on the bike, and therefore no professional equipment is used. As a result of data processing, ranges of angles in selected joints are provided. Finally strengths and weaknesses of both proposed methods are discussed.

  20. Methods of video and shearography inspection

    Science.gov (United States)

    Lansing, Matthew D.; Bullock, Michael W.; Gnacek, William J.

    1995-01-01

    The goal of this research effort was to study methods of video image correlation and electronic shearography for nondestructive evaluation of aerospace components. Methods of physical load application must be developed before interrogations with these methods may be used to qualify hardware. To that end, inspection procedures were developed for a variety of aerospace components and material systems. Experiments were also conducted from which the relationship between the control settings of the electronic shearography apparatus may be related to flaw detectability. A short feasibility study was conducted to determine the applicability of electronic shearography to the determination of the stress intensity factor of a Mode 1 crack tip by measurement of the localized zone of three dimensional plasticity

  1. Effects of categorization method, regression type, and variable distribution on the inflation of Type-I error rate when categorizing a confounding variable.

    Science.gov (United States)

    Barnwell-Ménard, Jean-Louis; Li, Qing; Cohen, Alan A

    2015-03-15

    The loss of signal associated with categorizing a continuous variable is well known, and previous studies have demonstrated that this can lead to an inflation of Type-I error when the categorized variable is a confounder in a regression analysis estimating the effect of an exposure on an outcome. However, it is not known how the Type-I error may vary under different circumstances, including logistic versus linear regression, different distributions of the confounder, and different categorization methods. Here, we analytically quantified the effect of categorization and then performed a series of 9600 Monte Carlo simulations to estimate the Type-I error inflation associated with categorization of a confounder under different regression scenarios. We show that Type-I error is unacceptably high (>10% in most scenarios and often 100%). The only exception was when the variable categorized was a continuous mixture proxy for a genuinely dichotomous latent variable, where both the continuous proxy and the categorized variable are error-ridden proxies for the dichotomous latent variable. As expected, error inflation was also higher with larger sample size, fewer categories, and stronger associations between the confounder and the exposure or outcome. We provide online tools that can help researchers estimate the potential error inflation and understand how serious a problem this is. Copyright © 2014 John Wiley & Sons, Ltd.

  2. MEDIA VIDEO PEMBELAJARAN METHODS OF TEFL

    Directory of Open Access Journals (Sweden)

    Utami Widiati, Enny Irawati, Yazid Basth -

    2013-05-01

    Full Text Available Abstract: VCD Learning-Media in Method of TEFL. This study took four steps:  survey for needs assess­ment, product development, expert validation, and small-scale try-out. The survey, using a questionnaire, engaged 29 students having passed the masterate course on Methods of TEFL. A seasoned faculty member handling the course was also involved as a research subject with whom interviews were conducted.  Based on the information obtained in the survey, video materials were developed following two kinds of activities: the development of learning scenario and script for screenplay, and the visual recording of teaching-learning activities based on the scenario and screenplay. The recordings were limited to 3 teaching-learning models. The subjects participating in the three teaching-learning models of Audio-lingual Method, Think-Pair-Share, and Genre-based Approach include students (and English teachers of SMP and SMA Labora­torium UM. In short, the VCD product has been developed in view of the needs assessment and theoretically fit. The product has achieved some degree of validity through expert validation and small-scale try-out; revisions based on the experts’ feedback and try-out results have been made. Abstrak: Media Video Pembelajaran Methods of TEFL. Penelitian ini meliputi 4 (empat kegiatan: survei analisis kebutuhan, pengembangan produk, validasi ahli, dan uji lapang terbatas. Survei mengguna­kan kuesioner dan melibatkan 29 mahasiswa S2 yang sudah mengambil matakuliah Methods of TEFL. Seorang dosen yang sudah berpengalaman mengampu matakuliah dimaksud juga dilibatkan sebagai subjek wawancara. Berdasarkan hasil survei, produk materi video dikembangkan dengan mengikuti dua langkah: pengembangan skenario pembelajaran dan script untuk screenplay, dan perekaman gambar aktivitas pem­belajaran berdasarkan skenario dan screenplay. Kegiatan perekaman dilaksanakan untuk tiga skenario model pembelajaran. Peserta pada model pembelajaran meliputi

  3. Alternative Assessment Methods Based on Categorizations, Supporting Technologies, and a Model for Betterment

    Science.gov (United States)

    Ben-Jacob, Marion G.; Ben-Jacob, Tyler E.

    2014-01-01

    This paper explores alternative assessment methods from the perspective of categorizations. It addresses the technologies that support assessment. It discusses initial, formative, and summative assessment, as well as objective and subjective assessment, and formal and informal assessment. It approaches each category of assessment from the…

  4. An unsupervised method for summarizing egocentric sport videos

    Science.gov (United States)

    Habibi Aghdam, Hamed; Jahani Heravi, Elnaz; Puig, Domenec

    2015-12-01

    People are getting more interested to record their sport activities using head-worn or hand-held cameras. This type of videos which is called egocentric sport videos has different motion and appearance patterns compared with life-logging videos. While a life-logging video can be defined in terms of well-defined human-object interactions, notwithstanding, it is not trivial to describe egocentric sport videos using well-defined activities. For this reason, summarizing egocentric sport videos based on human-object interaction might fail to produce meaningful results. In this paper, we propose an unsupervised method for summarizing egocentric videos by identifying the key-frames of the video. Our method utilizes both appearance and motion information and it automatically finds the number of the key-frames. Our blind user study on the new dataset collected from YouTube shows that in 93:5% cases, the users choose the proposed method as their first video summary choice. In addition, our method is within the top 2 choices of the users in 99% of studies.

  5. A Frame‐Based Video Signature Method for Very Quick Video Identification and Location

    National Research Council Canada - National Science Library

    Na, Sang‐il; Oh, Weon‐Geun; Jeong, Dong‐Seok

    2013-01-01

    .... The proposed two‐stage matching method is fast and works very well in finding locations. In addition, the proposed matching structure and strategy can distinguish a case in which a part of the query video matches a part...

  6. Segment scheduling method for reducing 360° video streaming latency

    Science.gov (United States)

    Gudumasu, Srinivas; Asbun, Eduardo; He, Yong; Ye, Yan

    2017-09-01

    360° video is an emerging new format in the media industry enabled by the growing availability of virtual reality devices. It provides the viewer a new sense of presence and immersion. Compared to conventional rectilinear video (2D or 3D), 360° video poses a new and difficult set of engineering challenges on video processing and delivery. Enabling comfortable and immersive user experience requires very high video quality and very low latency, while the large video file size poses a challenge to delivering 360° video in a quality manner at scale. Conventionally, 360° video represented in equirectangular or other projection formats can be encoded as a single standards-compliant bitstream using existing video codecs such as H.264/AVC or H.265/HEVC. Such method usually needs very high bandwidth to provide an immersive user experience. While at the client side, much of such high bandwidth and the computational power used to decode the video are wasted because the user only watches a small portion (i.e., viewport) of the entire picture. Viewport dependent 360°video processing and delivery approaches spend more bandwidth on the viewport than on non-viewports and are therefore able to reduce the overall transmission bandwidth. This paper proposes a dual buffer segment scheduling algorithm for viewport adaptive streaming methods to reduce latency when switching between high quality viewports in 360° video streaming. The approach decouples the scheduling of viewport segments and non-viewport segments to ensure the viewport segment requested matches the latest user head orientation. A base layer buffer stores all lower quality segments, and a viewport buffer stores high quality viewport segments corresponding to the most recent viewer's head orientation. The scheduling scheme determines viewport requesting time based on the buffer status and the head orientation. This paper also discusses how to deploy the proposed scheduling design for various viewport adaptive video

  7. Combined Scalable Video Coding Method for Wireless Transmission

    Directory of Open Access Journals (Sweden)

    Achmad Affandi

    2011-08-01

    Full Text Available Mobile video streaming is one of multimedia services that has developed very rapidly. Recently, bandwidth utilization for wireless transmission is the main problem in the field of multimedia communications. In this research, we offer a combination of scalable methods as the most attractive solution to this problem. Scalable method for wireless communication should adapt to input video sequence. Standard ITU (International Telecommunication Union - Joint Scalable Video Model (JSVM is employed to produce combined scalable video coding (CSVC method that match the required quality of video streaming services for wireless transmission. The investigation in this paper shows that combined scalable technique outperforms the non-scalable one, in using bit rate capacity at certain layer.

  8. Motivational Engagement and Video Gaming: A Mixed Methods Study

    Science.gov (United States)

    Hoffman, Bobby; Nadelson, Louis

    2010-01-01

    A mixed methods design was used to identify factors associated with motivational engagement in video gaming. Self-report instruments were administered to 189 video game players to assess goal orientations, affect, need for cognition, and perceptions of engagement and flow. Simultaneously, a sub-set of 25 participants were interviewed and results…

  9. Ensemble ROCK Methods and Ensemble SWFM Methods for Clustering of Cross Citrus Accessions Based on Mixed Numerical and Categorical Dataset

    Science.gov (United States)

    Alvionita; Sutikno; Suharsono, A.

    2017-03-01

    Cluster analysis is a technique in multivariate analysis methods that reduces (classifying) data. This analysis has the main purpose to classify the objects of observation into groups based on characteristics. In the process, a cluster analysis is not only used for numerical data or categorical data but also developed for mixed data. There are several methods in analyzing the mixed data as ensemble methods and methods Similarity Weight and Filter Methods (SWFM). There is a lot of research on these methods, but the study did not compare the performance given by both of these methods. Therefore, this paper will be compared the performance between the clustering ensemble ROCK methods and ensemble SWFM methods. These methods will be used in clustering cross citrus accessions based on the characteristics of fruit and leaves that involve variables that are a mixture of numerical and categorical. Clustering methods with the best performance determined by looking at the ratio of standard deviation values within groups (SW) with a standard deviation between groups (SB). Methods with the best performance has the smallest ratio. From the result, we get that the performance of ensemble ROCK methods is better than ensemble SWFM methods.

  10. Method and apparatus for reading meters from a video image

    Science.gov (United States)

    Lewis, Trevor J.; Ferguson, Jeffrey J.

    1997-01-01

    A method and system to enable acquisition of data about an environment from one or more meters using video images. One or more meters are imaged by a video camera and the video signal is digitized. Then, each region of the digital image which corresponds to the indicator of the meter is calibrated and the video signal is analyzed to determine the value indicated by each meter indicator. Finally, from the value indicated by each meter indicator in the calibrated region, a meter reading is generated. The method and system offer the advantages of automatic data collection in a relatively non-intrusive manner without making any complicated or expensive electronic connections, and without requiring intensive manpower.

  11. Systematic analysis of video data from different human-robot interaction studies: a categorization of social signals during error situations.

    Science.gov (United States)

    Giuliani, Manuel; Mirnig, Nicole; Stollnberger, Gerald; Stadler, Susanne; Buchner, Roland; Tscheligi, Manfred

    2015-01-01

    Human-robot interactions are often affected by error situations that are caused by either the robot or the human. Therefore, robots would profit from the ability to recognize when error situations occur. We investigated the verbal and non-verbal social signals that humans show when error situations occur in human-robot interaction experiments. For that, we analyzed 201 videos of five human-robot interaction user studies with varying tasks from four independent projects. The analysis shows that there are two types of error situations: social norm violations and technical failures. Social norm violations are situations in which the robot does not adhere to the underlying social script of the interaction. Technical failures are caused by technical shortcomings of the robot. The results of the video analysis show that the study participants use many head movements and very few gestures, but they often smile, when in an error situation with the robot. Another result is that the participants sometimes stop moving at the beginning of error situations. We also found that the participants talked more in the case of social norm violations and less during technical failures. Finally, the participants use fewer non-verbal social signals (for example smiling, nodding, and head shaking), when they are interacting with the robot alone and no experimenter or other human is present. The results suggest that participants do not see the robot as a social interaction partner with comparable communication skills. Our findings have implications for builders and evaluators of human-robot interaction systems. The builders need to consider including modules for recognition and classification of head movements to the robot input channels. The evaluators need to make sure that the presence of an experimenter does not skew the results of their user studies.

  12. Systematic analysis of video data from different human–robot interaction studies: a categorization of social signals during error situations

    Science.gov (United States)

    Giuliani, Manuel; Mirnig, Nicole; Stollnberger, Gerald; Stadler, Susanne; Buchner, Roland; Tscheligi, Manfred

    2015-01-01

    Human–robot interactions are often affected by error situations that are caused by either the robot or the human. Therefore, robots would profit from the ability to recognize when error situations occur. We investigated the verbal and non-verbal social signals that humans show when error situations occur in human–robot interaction experiments. For that, we analyzed 201 videos of five human–robot interaction user studies with varying tasks from four independent projects. The analysis shows that there are two types of error situations: social norm violations and technical failures. Social norm violations are situations in which the robot does not adhere to the underlying social script of the interaction. Technical failures are caused by technical shortcomings of the robot. The results of the video analysis show that the study participants use many head movements and very few gestures, but they often smile, when in an error situation with the robot. Another result is that the participants sometimes stop moving at the beginning of error situations. We also found that the participants talked more in the case of social norm violations and less during technical failures. Finally, the participants use fewer non-verbal social signals (for example smiling, nodding, and head shaking), when they are interacting with the robot alone and no experimenter or other human is present. The results suggest that participants do not see the robot as a social interaction partner with comparable communication skills. Our findings have implications for builders and evaluators of human–robot interaction systems. The builders need to consider including modules for recognition and classification of head movements to the robot input channels. The evaluators need to make sure that the presence of an experimenter does not skew the results of their user studies. PMID:26217266

  13. A novel visual saliency detection method for infrared video sequences

    Science.gov (United States)

    Wang, Xin; Zhang, Yuzhen; Ning, Chen

    2017-12-01

    Infrared video applications such as target detection and recognition, moving target tracking, and so forth can benefit a lot from visual saliency detection, which is essentially a method to automatically localize the ;important; content in videos. In this paper, a novel visual saliency detection method for infrared video sequences is proposed. Specifically, for infrared video saliency detection, both the spatial saliency and temporal saliency are considered. For spatial saliency, we adopt a mutual consistency-guided spatial cues combination-based method to capture the regions with obvious luminance contrast and contour features. For temporal saliency, a multi-frame symmetric difference approach is proposed to discriminate salient moving regions of interest from background motions. Then, the spatial saliency and temporal saliency are combined to compute the spatiotemporal saliency using an adaptive fusion strategy. Besides, to highlight the spatiotemporal salient regions uniformly, a multi-scale fusion approach is embedded into the spatiotemporal saliency model. Finally, a Gestalt theory-inspired optimization algorithm is designed to further improve the reliability of the final saliency map. Experimental results demonstrate that our method outperforms many state-of-the-art saliency detection approaches for infrared videos under various backgrounds.

  14. Comparison of Video Steganography Methods for Watermark Embedding

    Directory of Open Access Journals (Sweden)

    Griberman David

    2016-05-01

    Full Text Available The paper focuses on the comparison of video steganography methods for the purpose of digital watermarking in the context of copyright protection. Four embedding methods that use Discrete Cosine and Discrete Wavelet Transforms have been researched and compared based on their embedding efficiency and fidelity. A video steganography program has been developed in the Java programming language with all of the researched methods implemented for experiments. The experiments used 3 video containers with different amounts of movement. The impact of the movement has been addressed in the paper as well as the ways of potential improvement of embedding efficiency using adaptive embedding based on the movement amount. Results of the research have been verified using a survey with 17 participants.

  15. The Video Drift Method to Measure Double Stars

    Science.gov (United States)

    Nugent, Richard

    2017-06-01

    A new video method has been developed to measure double stars. The double star components are video recorded as they drift across the camera’s field of view from east to west with the telescope’s motor drive turned off. Using an existing software program that was specifically written for the analysis of occultation videos (Limovie - Light Measurement Tool for Occultation Observation using Video Recorder), standard (x,y) coordinates are extracted for each component star for each video frame. An Excel program written by author RLN (VidPro - Video Drift Program Reduction) analyses the (x,y) positions for determining position angle (PA), separation and other statistical quantities. Unlike other double star reduction methods, no star catalogue or calibration doubles are needed as each video drift is self-calibrating. The duration of a typical video for an f/10 telescope system ranges between 20 sec - 1 minute; this along with a 30 frame/sec recording rate produces 100’s to 1,000’s of (x,y) pairs for analysis. The video chip’s offset from the true east-west direction (drift angle) is computed simultaneously along with a scale factor for each video. The drift angle and scale factor are used with all (x,y) positions to generate a unique position angle and separation. For 1,800+ doubles measured to date typical standard deviations (our own internal precision) for position angles are 1.1° and for separations 0.35". A comparison was made with the Washington Double Star catalog (WDS) entries that had little or no change in PA and separation for 120 + years. For these doubles our PA’s and separations differed by an average of 0.2 deg and 0.2" respectively. Sources of error are discussed along with tips to maximize the quality of the (x,y) data produced by Limovie. Limovie and VidPro programs are available as free downloads.

  16. Classification of video tampering methods and countermeasures using digital watermarking

    Science.gov (United States)

    Yin, Peng; Yu, Hong H.

    2001-11-01

    The development and spread of multimedia services require authentication techniques to prove the originality and integrity of multimedia data and (or) to localize the alterations made on the media. A wide variety of authentication techniques have been proposed in the literature, but most studies have been primarily focused on still images. In this paper, we will mainly address video authentication. We first summarize the classification of video tampering methods. Based on our proposed classification, the quality of existing authentication techniques can be evaluated. We then propose our own authentication system to combat those tampering methods. The comparison of two basic authentication categories, fragile watermark and digital signature, are made and the need for combining them are discussed. Finally, we address some issues on authenticating a broad sense video, the mixture of visual, audio and text data.

  17. Participatory Video: Toward a Method, Advocacy and Voice (MAV) Framework

    Science.gov (United States)

    Sitter, Kathleen C.

    2012-01-01

    Using the new conceptual framework of participatory visual media as method, advocacy and voice (MAV), the author explores an action research study using an exemplar in which advocates from the disability community created and distributed a series of videos about love and sexuality as a critical human rights issue in the disability community. The…

  18. A method to synchronise video cameras using the audio band.

    Science.gov (United States)

    Leite de Barros, Ricardo Machado; Guedes Russomanno, Tiago; Brenzikofer, René; Jovino Figueroa, Pascual

    2006-01-01

    This paper proposes and evaluates a novel method for synchronisation of video cameras using the audio band. The method consists in generating and transmitting an audio signal through radio frequency for receivers connected to the microphone input of the cameras and inserting the signal in the audio band. In a software environment, the phase differences among the video signals are calculated and used to interpolate the synchronous 2D projections of the trajectories. The validation of the method was based on: (1) Analysis of the phase difference changes as a function of time of two video signals. (2) Comparison between the values measured with an oscilloscope and by the proposed method. (3) Estimation of the improvement in the accuracy in the measurements of the distance between two markers mounted on a rigid body during movement applying the method. The results showed that the phase difference changes in time slowly (0.150 ms/min) and linearly, even when the same model of cameras are used. The values measured by the proposed method and by oscilloscope showed equivalence (R2=0.998), the root mean square of the difference between the measurements was 0.10 ms and the maximum difference found was 0.31 ms. Applying the new method, the accuracy of the 3D reconstruction had a statistically significant improvement. The accuracy, simplicity and wide applicability of the proposed method constitute the main contributions of this work.

  19. Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis.

    Science.gov (United States)

    Eekhout, Iris; van de Wiel, Mark A; Heymans, Martijn W

    2017-08-22

    Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin's Rules (RR) are easily applied to pool parameter estimates. In a logistic regression model, to consider whether a categorical covariate with more than two levels significantly contributes to the model, different methods are available. For example pooling chi-square tests with multiple degrees of freedom, pooling likelihood ratio test statistics, and pooling based on the covariance matrix of the regression model. These methods are more complex than RR and are not available in all mainstream statistical software packages. In addition, they do not always obtain optimal power levels. We argue that the median of the p-values from the overall significance tests from the analyses on the imputed datasets can be used as an alternative pooling rule for categorical variables. The aim of the current study is to compare different methods to test a categorical variable for significance after multiple imputation on applicability and power. In a large simulation study, we demonstrated the control of the type I error and power levels of different pooling methods for categorical variables. This simulation study showed that for non-significant categorical covariates the type I error is controlled and the statistical power of the median pooling rule was at least equal to current multiple parameter tests. An empirical data example showed similar results. It can therefore be concluded that using the median of the p-values from the imputed data analyses is an attractive and easy to use alternative method for significance testing of categorical variables.

  20. Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis

    NARCIS (Netherlands)

    Eekhout, I.; Wiel, M.A. van de; Heymans, M.W.

    2017-01-01

    Background. Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin’s Rules (RR) are easily applied to pool parameter estimates. In a logistic regression model, to consider whether a categorical covariate with more than two levels

  1. Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data

    NARCIS (Netherlands)

    van der Palm, D.W.; van der Ark, L.A.; Vermunt, J.K.

    Traditionally latent class (LC) analysis is used by applied researchers as a tool for identifying substantively meaningful clusters. More recently, LC models have also been used as a density estimation tool for categorical variables. We introduce a divisive LC (DLC) model as a density estimation

  2. Divisive latent class modeling as a density estimation method for categorical data

    NARCIS (Netherlands)

    van der Palm, D.W.; van der Ark, L.A.; Vermunt, J.K.

    2016-01-01

    Traditionally latent class (LC) analysis is used by applied researchers as a tool for identifying substantively meaningful clusters. More recently, LC models have also been used as a density estimation tool for categorical variables. We introduce a divisive LC (DLC) model as a density estimation

  3. Fuzzy Filtering Method for Color Videos Corrupted by Additive Noise

    Directory of Open Access Journals (Sweden)

    Volodymyr I. Ponomaryov

    2014-01-01

    Full Text Available A novel method for the denoising of color videos corrupted by additive noise is presented in this paper. The proposed technique consists of three principal filtering steps: spatial, spatiotemporal, and spatial postprocessing. In contrast to other state-of-the-art algorithms, during the first spatial step, the eight gradient values in different directions for pixels located in the vicinity of a central pixel as well as the R, G, and B channel correlation between the analogous pixels in different color bands are taken into account. These gradient values give the information about the level of contamination then the designed fuzzy rules are used to preserve the image features (textures, edges, sharpness, chromatic properties, etc.. In the second step, two neighboring video frames are processed together. Possible local motions between neighboring frames are estimated using block matching procedure in eight directions to perform interframe filtering. In the final step, the edges and smoothed regions in a current frame are distinguished for final postprocessing filtering. Numerous simulation results confirm that this novel 3D fuzzy method performs better than other state-of-the-art techniques in terms of objective criteria (PSNR, MAE, NCD, and SSIM as well as subjective perception via the human vision system in the different color videos.

  4. A Video Quality Assessment Method for VoIP Applications Based on User Experience

    Science.gov (United States)

    Wang, Zedong; Wang, Jing; Wang, Fei; Li, Chengcai; Fei, Zesong; Rahim, Tariq

    2017-12-01

    An objective video quality assessment method is proposed to evaluate the video quality in voice over internet protocol (VoIP) applications under network distortion. The fluency and the clarity of videos are two main parts of the factors that affect user experience, thus the method evaluates these two parts to assess the distortions of videos in VoIP applications caused by codec and packet loss. The clarity of the video is measured by calculating block artifacts and frame blurring. Video blocking artifacts are measured by splitting the picture into small blocks and calculating the difference of the pixels around each border while video blurring is measured by getting edge information through Sobel operator, and counting the gradient histogram. Then the video clarity can be measured by a weighted sum of block artifacts score and blurring score using linear regression. The scores are also normalized in order to eliminate the impact of different video contents. The video fluency is calculated by counting the wrong frame in the video. Finally, a weighted sum of video clarity score and video fluency score can represent the quality of the video. The experimental results show that the objective quality scores have a strong correlation with the subjective quality scores, and the algorithm concludes two parts of user experience other than just image quality, which is more comprehensive and it can be used in video quality assessment in VoIP applications.

  5. Using video-based observation research methods in primary care health encounters to evaluate complex interactions

    Directory of Open Access Journals (Sweden)

    Onur Asan

    2014-08-01

    Full Text Available Objective The purpose of this paper is to describe the use of video-based observation research methods in primary care environment and highlight important methodological considerations and provide practical guidance for primary care and human factors researchers conducting video studies to understand patient–clinician interaction in primary care settings.Methods We reviewed studies in the literature which used video methods in health care research, and we also used our own experience based on the video studies we conducted in primary care settings.Results This paper highlighted the benefits of using video techniques, such as multi-channel recording and video coding, and compared “unmanned” video recording with the traditional observation method in primary care research. We proposed a list that can be followed step by step to conduct an effective video study in a primary care setting for a given problem. This paper also described obstacles, researchers should anticipate when using video recording methods in future studies.Conclusion With the new technological improvements, video-based observation research is becoming a promising method in primary care and HFE research. Video recording has been under-utilised as a data collection tool because of confidentiality and privacy issues. However, it has many benefits as opposed to traditional observations, and recent studies using video recording methods have introduced new research areas and approaches.

  6. A method for a categorized and probabilistic analysis of the surface electromyogram in dynamic contractions

    Directory of Open Access Journals (Sweden)

    Sylvie Charlotte Frieda Anneliese von Werder

    2015-02-01

    Full Text Available The human motor system permits a wide variety of complex movements. Thereby, the inter- individual variability as well as the biomechanical aspects of the performed movement itself contribute to the challenge of the interpretation of sEMG signals in dynamic contractions. A procedure for the systematic analysis of sEMG recordings during dynamic contraction was introduced, which includes categorization of the data in combination with the analysis of frequency distributions of the sEMG with a probabilistic approach. Using the example of elbow flexion and extension the procedure was evaluated with 10 healthy subjects. The recorded sEMG signals of brachioradialis were categorized into a combination of constant and variable movement factors, which originate from the performed movement. Subsequently, for each combination of movement factors cumulative frequency distributions were computed for each subject separately. Finally, the probability of the difference of muscular activation in varying movement conditions was assessed. The probabilistic approach was compared to a deterministic analysis of the same data. Both approaches observed a significant change of muscular activation of brachioradialis during concentric and eccentric contractions exclusively for flexion and extension angles exceeding 30°. However, with the probabilistic approach additional information on the likelihood that the tested effect occurs can be provided.Especially for movements under uncontrollable boundary conditions, this information to assess the confidence of the detected results is of high relevance. Thus, the procedure provides new insights into the quantification and interpretation of muscular activity.

  7. Using video-based observation research methods in primary care health encounters to evaluate complex interactions.

    Science.gov (United States)

    Asan, Onur; Montague, Enid

    2014-01-01

    The purpose of this paper is to describe the use of video-based observation research methods in primary care environment and highlight important methodological considerations and provide practical guidance for primary care and human factors researchers conducting video studies to understand patient-clinician interaction in primary care settings. We reviewed studies in the literature which used video methods in health care research, and we also used our own experience based on the video studies we conducted in primary care settings. This paper highlighted the benefits of using video techniques, such as multi-channel recording and video coding, and compared "unmanned" video recording with the traditional observation method in primary care research. We proposed a list that can be followed step by step to conduct an effective video study in a primary care setting for a given problem. This paper also described obstacles, researchers should anticipate when using video recording methods in future studies. With the new technological improvements, video-based observation research is becoming a promising method in primary care and HFE research. Video recording has been under-utilised as a data collection tool because of confidentiality and privacy issues. However, it has many benefits as opposed to traditional observations, and recent studies using video recording methods have introduced new research areas and approaches.

  8. Height Measuring System On Video Using Otsu Method

    Science.gov (United States)

    Sandy, C. L. M.; Meiyanti, R.

    2017-01-01

    A measurement of height is comparing the value of the magnitude of an object with a standard measuring tool. The problems that exist in the measurement are still the use of a simple apparatus in which one of them is by using a meter. This method requires a relatively long time. To overcome these problems, this research aims to create software with image processing that is used for the measurement of height. And subsequent that image is tested, where the object captured by the video camera can be known so that the height of the object can be measured using the learning method of Otsu. The system was built using Delphi 7 of Vision Lab VCL 4.5 component. To increase the quality of work of the system in future research, the developed system can be combined with other methods.

  9. A Method to Categorize 2-Dimensional Patterns Using Statistics of Spatial Organization

    Directory of Open Access Journals (Sweden)

    Juan López-Sauceda

    2017-03-01

    Full Text Available We developed a measurement framework of spatial organization to categorize 2-dimensional patterns from 2 multiscalar biological architectures. We propose that underlying shapes of biological entities can be approached using the statistical concept of degrees of freedom, defining it through expansion of area variability in a pattern. To help scope this suggestion, we developed a mathematical argument recognizing the deep foundations of area variability in a polygonal pattern (spatial heterogeneity. This measure uses a parameter called eutacticity . Our measuring platform of spatial heterogeneity can assign particular ranges of distribution of spatial areas for 2 biological architectures: ecological patterns of Namibia fairy circles and epithelial sheets. The spatial organizations of our 2 analyzed biological architectures are demarcated by being in a particular position among spatial order and disorder. We suggest that this theoretical platform can give us some insights about the nature of shapes in biological systems to understand organizational constraints.

  10. A new method for wireless video monitoring of bird nests

    Science.gov (United States)

    David I. King; Richard M. DeGraaf; Paul J. Champlin; Tracey B. Champlin

    2001-01-01

    Video monitoring of active bird nests is gaining popularity among researchers because it eliminates many of the biases associated with reliance on incidental observations of predation events or use of artificial nests, but the expense of video systems may be prohibitive. Also, the range and efficiency of current video monitoring systems may be limited by the need to...

  11. Comparative study of motion detection methods for video surveillance systems

    Science.gov (United States)

    Sehairi, Kamal; Chouireb, Fatima; Meunier, Jean

    2017-03-01

    The objective of this study is to compare several change detection methods for a monostatic camera and identify the best method for different complex environments and backgrounds in indoor and outdoor scenes. To this end, we used the CDnet video dataset as a benchmark that consists of many challenging problems, ranging from basic simple scenes to complex scenes affected by bad weather and dynamic backgrounds. Twelve change detection methods, ranging from simple temporal differencing to more sophisticated methods, were tested and several performance metrics were used to precisely evaluate the results. Because most of the considered methods have not previously been evaluated on this recent large scale dataset, this work compares these methods to fill a lack in the literature, and thus this evaluation joins as complementary compared with the previous comparative evaluations. Our experimental results show that there is no perfect method for all challenging cases; each method performs well in certain cases and fails in others. However, this study enables the user to identify the most suitable method for his or her needs.

  12. Micro Expression Recognition Using the Eulerian Video Magnification Method

    Directory of Open Access Journals (Sweden)

    Elham Zarezadeh

    2016-08-01

    Full Text Available In this paper we propose a new approach for facial micro expressions recognition. For this purpose the Eulerian Video Magnification (EVM method is used to retrieve the subtle motions of the face. The results of this method are obtained as in the magnified images sequence. In this study the numerical tests are performed on two databases: Spontaneous Micro expression (SMIC and Category and Sourcing Managers Executive (CASME. We evaluate our proposed method in two phases using the eigenface method. In phase 1 we recognize the type of a micro expression, for example emotional versus unemotional in SMIC database. Phase 2 classifies the recognized micro expression as negative versus positive in SMIC database and happiness versus disgust in CASME database. The results show that the eigenface method by the EVM method for the retrieval of subtle motions of the face increases the performance of micro expression recognition. Moreover, the proposed approach is more accurate and promising than the previous works in micro expressions recognition.

  13. Child categorization.

    Science.gov (United States)

    Gelman, Susan A; Meyer, Meredith

    2011-01-01

    Categorization is a process that spans all of development, beginning in earliest infancy yet changing as children's knowledge and cognitive skills develop. In this review article, we address three core issues regarding childhood categorization. First, we discuss the extent to which early categories are rooted in perceptual similarity versus knowledge-enriched theories. We argue for a composite perspective in which categories are steeped in commonsense theories from a young age but also are informed by low-level similarity and associative learning cues. Second, we examine the role of language in early categorization. We review evidence to suggest that language is a powerful means of expressing, communicating, shaping, and supporting category knowledge. Finally, we consider categories in context. We discuss sources of variability and flexibility in children's categories, as well as the ways in which children's categories are used within larger knowledge systems (e.g., to form analogies, make inferences, or construct theories). Categorization is a process that is intrinsically tied to nearly all aspects of cognition, and its study provides insight into cognitive development, broadly construed. WIREs Cogn Sci 2011 2 95-105 DOI: 10.1002/wcs.96 For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.

  14. Sticky Categorizations

    DEFF Research Database (Denmark)

    Lagermann, Laila Colding

    2015-01-01

    What are the possibilities and/or limitations in becoming subjects who are differenciated from earlier processes of categorizations that certain students are subjected to? This is the question explored in the analysis of this paper, based on observations of, and narratives and perspectives of two...

  15. A robust fusion method for multiview distributed video coding

    DEFF Research Database (Denmark)

    Salmistraro, Matteo; Ascenso, Joao; Brites, Catarina

    2014-01-01

    to have the various views available simultaneously. However, in multiview DVC (M-DVC), the decoder can still exploit the redundancy between views, avoiding the need for inter-camera communication. The key element of every DVC decoder is the side information (SI), which can be generated by leveraging intra......-view or inter-view redundancy for multiview video data. In this paper, a novel learning-based fusion technique is proposed, which is able to robustly fuse an inter-view SI and an intra-view (temporal) SI. An inter-view SI generation method capable of identifying occluded areas is proposed and is coupled...... values. The proposed solution is able to achieve gains up to 0.9 dB in Bjøntegaard difference when compared with the best-performing (in a RD sense) single SI DVC decoder, chosen as the best of an inter-view and a temporal SI-based decoder one....

  16. Dimensioning Method for Conversational Video Applications in Wireless Convergent Networks

    Directory of Open Access Journals (Sweden)

    Alonso JoséI

    2008-01-01

    Full Text Available Abstract New convergent services are becoming possible, thanks to the expansion of IP networks based on the availability of innovative advanced coding formats such as H.264, which reduce network bandwidth requirements providing good video quality, and the rapid growth in the supply of dual-mode WiFi cellular terminals. This paper provides, first, a comprehensive subject overview as several technologies are involved, such as medium access protocol in IEEE802.11, H.264 advanced video coding standards, and conversational application characterization and recommendations. Second, the paper presents a new and simple dimensioning model of conversational video over wireless LAN. WLAN is addressed under the optimal network throughput and the perspective of video quality. The maximum number of simultaneous users resulting from throughput is limited by the collisions taking place in the shared medium with the statistical contention protocol. The video quality is conditioned by the packet loss in the contention protocol. Both approaches are analyzed within the scope of the advanced video codecs used in conversational video over IP, to conclude that conversational video dimensioning based on network throughput is not enough to ensure a satisfactory user experience, and video quality has to be taken also into account. Finally, the proposed model has been applied to a real-office scenario.

  17. Dimensioning Method for Conversational Video Applications in Wireless Convergent Networks

    Directory of Open Access Journals (Sweden)

    Raquel Perez Leal

    2007-12-01

    Full Text Available New convergent services are becoming possible, thanks to the expansion of IP networks based on the availability of innovative advanced coding formats such as H.264, which reduce network bandwidth requirements providing good video quality, and the rapid growth in the supply of dual-mode WiFi cellular terminals. This paper provides, first, a comprehensive subject overview as several technologies are involved, such as medium access protocol in IEEE802.11, H.264 advanced video coding standards, and conversational application characterization and recommendations. Second, the paper presents a new and simple dimensioning model of conversational video over wireless LAN. WLAN is addressed under the optimal network throughput and the perspective of video quality. The maximum number of simultaneous users resulting from throughput is limited by the collisions taking place in the shared medium with the statistical contention protocol. The video quality is conditioned by the packet loss in the contention protocol. Both approaches are analyzed within the scope of the advanced video codecs used in conversational video over IP, to conclude that conversational video dimensioning based on network throughput is not enough to ensure a satisfactory user experience, and video quality has to be taken also into account. Finally, the proposed model has been applied to a real-office scenario.

  18. Students’ Knowledge Comprehension after Implementation of Live Conventional Demonstration, Video Teaching and Video-Assisted Instruction Methods in Endodontic Practice

    Science.gov (United States)

    Mohammadzadeh Akhlaghi, Nahid; Khalilak, Zohreh; Vatanpour, Mehdi; Moshari, Amirabbas; Ghaffari, Saman; Namazikhah, Mohammad Sadegh

    2017-01-01

    Introduction: Video-assisted clinical instruction (VACID) has been found to be a beneficial teaching tool for various fields in dentistry. The aim of this interventional study was to compare the efficacy of live conventional demonstration (CD), video teaching, and VACID (video with explanation) methods in teaching of root canal treatment to undergraduate dental students. Methods and Materials: Forty-two undergraduate senior dental students participated in this study. The students experienced this course for the first time and were randomly divided into three groups (n=14). Group A attended live CD on a patient; group B watched a professionally produced demonstration video without any verbal explanation during 1 h; and finally group C watched the same video alongside live explanation by a mentor during the 1.5 h (VACID). The whole process was performed by an experienced endodontist on maxillary central incisors. All of The students carried out a multiple choice question exam to evaluate their comprehension. The mean score of the experimental groups were compared using ANOVA test and multiple comparisons were carried out with Tamhane test. The level of significance was set at 0.05. Results: There was significant difference among three groups according to the ANOVA test (Pendodontic training in undergraduate dental students. PMID:28512486

  19. Categorical Pullbacks

    Directory of Open Access Journals (Sweden)

    Riccardi Marco

    2015-03-01

    Full Text Available The main purpose of this article is to introduce the categorical concept of pullback in Mizar. In the first part of this article we redefine homsets, monomorphisms, epimorpshisms and isomorphisms [7] within a free-object category [1] and it is shown there that ordinal numbers can be considered as categories. Then the pullback is introduced in terms of its universal property and the Pullback Lemma is formalized [15]. In the last part of the article we formalize the pullback of functors [14] and it is also shown that it is not possible to write an equivalent definition in the context of the previous Mizar formalization of category theory [8].

  20. Active classifier selection for RGB-D object categorization using a Markov random field ensemble method

    Science.gov (United States)

    Durner, Maximilian; Márton, Zoltán.; Hillenbrand, Ulrich; Ali, Haider; Kleinsteuber, Martin

    2017-03-01

    In this work, a new ensemble method for the task of category recognition in different environments is presented. The focus is on service robotic perception in an open environment, where the robot's task is to recognize previously unseen objects of predefined categories, based on training on a public dataset. We propose an ensemble learning approach to be able to flexibly combine complementary sources of information (different state-of-the-art descriptors computed on color and depth images), based on a Markov Random Field (MRF). By exploiting its specific characteristics, the MRF ensemble method can also be executed as a Dynamic Classifier Selection (DCS) system. In the experiments, the committee- and topology-dependent performance boost of our ensemble is shown. Despite reduced computational costs and using less information, our strategy performs on the same level as common ensemble approaches. Finally, the impact of large differences between datasets is analyzed.

  1. Categorization of Chinese Dry-Cured Ham Based on Three Sticks’ Method by Multiple Sensory Technologies

    OpenAIRE

    Xia, Dong; Zhang, Dan Ni; Gao, Shao Ting; Chen, Le; Li, Nan; Zheng, Fu Ping; Liu, Yuan

    2017-01-01

    Odor profiles of three grades of Jinhua, Xuanwei, and Rugao dry-cured hams were analyzed and distinguished by both the electronic nose and the sensory evaluation. The odor was absorbed by bamboo sticks, which is the most traditional absorption method to classify different ham grades. Then data from electronic nose was analyzed by discriminant function analysis (DFA) and cluster analysis (CA), compared with that from sensory evaluation by principal component analysis (PCA). Results showed that...

  2. Adhesives: Test Method, Group Assignment, and Categorization Guide for High-Loading-Rate Applications

    Science.gov (United States)

    2014-06-01

    Apparent Shear Strength of Single- Lap -Joint Adhesively Bonded Metal Specimens by Tension Loading [Metal- to-Metal]).5 Samples are to be stored in a...the Army, Washington, DC, 2 October 2007. 5. ASTM Standard D1002-10 "Standard Test Method for Apparent Shear Strength of Single- Lap -Joint Adhesively ... adhesives for high-loading-rate applications relevant to U.S. Army needs. 15. SUBJECT TERMS adhesive , testing, single lap joint, high loading rate

  3. A new approach for categorizing pig lying behaviour based on a Delaunay triangulation method.

    Science.gov (United States)

    Nasirahmadi, A; Hensel, O; Edwards, S A; Sturm, B

    2017-01-01

    Machine vision-based monitoring of pig lying behaviour is a fast and non-intrusive approach that could be used to improve animal health and welfare. Four pens with 22 pigs in each were selected at a commercial pig farm and monitored for 15 days using top view cameras. Three thermal categories were selected relative to room setpoint temperature. An image processing technique based on Delaunay triangulation (DT) was utilized. Different lying patterns (close, normal and far) were defined regarding the perimeter of each DT triangle and the percentages of each lying pattern were obtained in each thermal category. A method using a multilayer perceptron (MLP) neural network, to automatically classify group lying behaviour of pigs into three thermal categories, was developed and tested for its feasibility. The DT features (mean value of perimeters, maximum and minimum length of sides of triangles) were calculated as inputs for the MLP classifier. The network was trained, validated and tested and the results revealed that MLP could classify lying features into the three thermal categories with high overall accuracy (95.6%). The technique indicates that a combination of image processing, MLP classification and mathematical modelling can be used as a precise method for quantifying pig lying behaviour in welfare investigations.

  4. Categorization of Chinese Dry-Cured Ham Based on Three Sticks’ Method by Multiple Sensory Technologies

    Directory of Open Access Journals (Sweden)

    Dong Xia

    2017-01-01

    Full Text Available Odor profiles of three grades of Jinhua, Xuanwei, and Rugao dry-cured hams were analyzed and distinguished by both the electronic nose and the sensory evaluation. The odor was absorbed by bamboo sticks, which is the most traditional absorption method to classify different ham grades. Then data from electronic nose was analyzed by discriminant function analysis (DFA and cluster analysis (CA, compared with that from sensory evaluation by principal component analysis (PCA. Results showed that different grades of Jinhua, Xuanwei, and Rugao dry-cured hams could be distinguished effectively by the DFA results of electronic nose. However, sensory evaluation could not perform as well as electronic nose. It was demonstrated that intelligent sensory technology has higher sensitivity and reliability in classifying producing regions and grades of dry-cured ham.

  5. Might the Masson trichrome stain be considered a useful method for categorizing experimental tendon lesions?

    Science.gov (United States)

    Martinello, Tiziana; Pascoli, Francesco; Caporale, Giovanni; Perazzi, Anna; Iacopetti, Ilaria; Patruno, Marco

    2015-08-01

    Strain injuries of tendons are the most common orthopedic injuries in athletic subjects, be they equine or human. When the tendon is suddenly damaged, an acute inflammatory phase occurs whereas its repetitive overloading may cause chronic injuries. Currently the criteria used for grading injuries are general and subjective, and therefore a reliable grading method would be an improvement. The main purpose of this study was to assess qualitatively the histological pattern of Masson trichrome stain in healthy and injured tendons; indeed, the known "paradox" of Masson staining was used to create an evaluation for the matrix of tendons, following experimental lesions and natural repair processes. A statistically significant difference of aniline-staining between healthy and lesioned tendons was observed. Overall, we think that the Masson staining might be regarded as an informative tool in discerning the collagen spatial arrangement and therefore the histological characteristics of tendons.

  6. Three-dimensional video presentation of microsurgery by the cross-eyed viewing method using a high-definition video system.

    Science.gov (United States)

    Terakawa, Yuzo; Ishibashi, Kenichi; Goto, Takeo; Ohata, Kenji

    2011-01-01

    Three-dimensional (3-D) video recording of microsurgery is a more promising tool for presentation and education of microsurgery than conventional two-dimensional video systems, but has not been widely adopted partly because 3-D image processing of previous 3-D video systems is complicated and observers without optical devices cannot visualize the 3-D image. A new technical development for 3-D video presentation of microsurgery is described. Microsurgery is recorded with a microscope equipped with a single high-definition (HD) video camera. This 3-D video system records the right- and left-eye views of the microscope simultaneously as single HD data with the use of a 3-D camera adapter: the right- and left-eye views of the microscope are displayed separately on the right and left sides, respectively. The operation video is then edited with video editing software so that the right-eye view is displayed on the left side and left-eye view is displayed on the right side. Consequently, a 3-D video of microsurgery can be created by viewing the edited video by the cross-eyed stereogram viewing method without optical devices. The 3-D microsurgical video provides a more accurate view, especially with regard to depth, and a better understanding of microsurgical anatomy. Although several issues are yet to be addressed, this 3-D video system is a useful method of recording and presenting microsurgery for 3-D viewing with currently available equipment, without optical devices.

  7. A categorization method applied to the study of urban road traffic noise

    Science.gov (United States)

    Barrigón Morillas, Juan Miguel; Gómez Escobar, Valentín; Méndez Sierra, Juan Antonio; Vílchez-Gómez, Rosendo; Vaquero, José M.; Trujillo Carmona, José

    2005-05-01

    The present work summarizes a study of the hypothesis that urban noise can be stratified by measuring street noise according to a prior classification of a town's streets according to their use in communicating the different zones of the town. The method was applied to five medium-sized Spanish towns (Vitoria-Gasteiz, Salamanca, Badajoz, Cáceres, and Mérida) with populations ranging from 218 000 down to 50 000 and with different socio-economic characteristics, climate, etc. As the initial hypothesis of the work was that traffic is the main source of urban noise and is also the principal cause of the variability of the sound levels measured in urban settings, the study focused only on the five nonpedestrian categories of streets. The continuous equivalent sound level (Leq) was employed in the statistical analysis as it is commonly used as a general noise index, and other noise indicators such as LDN or LDEN are calculated from it. It was found that, although differences between the medians were not statistically significant in some of the towns for certain pairs of adjacent categories, the differences between pairs of nonadjacent categories were always significant, indicative of the stratification of noise in these five towns. Further studies on other medium-sized towns and on large towns and small villages would be needed to test whether the present definition of street categories is extensible elsewhere without modification. .

  8. Categorization and theoretical comparison of quantitative methods for assessing QT/RR hysteresis.

    Science.gov (United States)

    Gravel, Hugo; Curnier, Daniel; Dahdah, Nagib; Jacquemet, Vincent

    2017-07-01

    In the human electrocardiogram, there is a lag of adaptation of the QT interval to heart rate changes, usually termed QT/RR hysteresis (QT-hys). Subject-specific quantifiers of QT-hys have been proposed as potential biomarkers, but there is no consensus on the choice of the quantifier. A comprehensive literature search was conducted to identify original articles reporting quantifiers of repolarization hysteresis from the surface ECG in humans. Sixty articles fulfilled our inclusion criteria. Reported biomarkers were grouped under four categories. A simple mathematical model of QT/RR loop was used to illustrate differences between the methods. Category I quantifiers use direct measurement of QT time course of adaptation. They are limited to conditions where RR intervals are under strict control. Category IIa and IIb quantifiers compare QT responses during consecutive heart rate acceleration and deceleration. They are relevant when a QT/RR loop is observed, typically during exercise and recovery, but are not robust to protocol variations. Category III quantifiers evaluate the optimum RR memory in dynamic QT/RR relationship modeling. They estimate an intrinsic memory parameter independent from the nature of RR changes, but their reliability remains to be confirmed when multiple memory parameters are estimated. Promising approaches include the differentiation of short-term and long-term memory and adaptive estimation of memory parameters. Model-based approaches to QT-hys assessment appear to be the most versatile, as they allow separate quantification of QT/RR dependency and QT-hys, and can be applied to a wide range of experimental settings. © 2017 Wiley Periodicals, Inc.

  9. Categorization = Decision Making + Generalization

    Science.gov (United States)

    Seger, Carol A; Peterson, Erik J.

    2013-01-01

    We rarely, if ever, repeatedly encounter exactly the same situation. This makes generalization crucial for real world decision making. We argue that categorization, the study of generalizable representations, is a type of decision making, and that categorization learning research would benefit from approaches developed to study the neuroscience of decision making. Similarly, methods developed to examine generalization and learning within the field of categorization may enhance decision making research. We first discuss perceptual information processing and integration, with an emphasis on accumulator models. We then examine learning the value of different decision making choices via experience, emphasizing reinforcement learning modeling approaches. Next we discuss how value is combined with other factors in decision making, emphasizing the effects of uncertainty. Finally, we describe how a final decision is selected via thresholding processes implemented by the basal ganglia and related regions. We also consider how memory related functions in the hippocampus may be integrated with decision making mechanisms and contribute to categorization. PMID:23548891

  10. Analysis of Ordinal Categorical Data

    CERN Document Server

    Agresti, Alan

    2012-01-01

    Statistical science's first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available st

  11. Categorically Not!

    Science.gov (United States)

    Cole, K. C.

    2011-04-01

    The artist Bob Miller liked to say that the worst disease afflicting humankind is ``hardening of the categories'' - the tendency to cram subjects into boxes labeled ``science,'' ``art,'' ``politics,'' ``economics,'' ``play'' - labels that are as outdated and meaningless as divisions between the colors on a continuous spectrum. Over the past 10 years, KC Cole has been organizing free form events that tear down these artificial barriers, and with intriguing results: actors gain insights into character from a topologist; a choreographer solves engineering problems through her knowledge of motion; neuroscientists learn about intuition from filmmakers and string theorists. Categorically Not! - as the series is called - is not (merely) an attempt to ``popularize'' science by looking at it through unlikely lenses, but a real exploration into the deep connections that both illuminate and energize all fields of study. It is a ``people's'' salon, free and open to the general public. Cole will talk about how she overcomes ``hardening of the categories'' not just through events, but also in her popular magazine and newspaper articles, books, radio commentaries, and teaching at USC's Annenberg School of Communication and Journalism.

  12. A modular video streaming method for surgical assistance in operating room networks.

    Science.gov (United States)

    Voruganti, Arun Kumar Raj; Mayoral, Rafael; Vazquez, Adrian; Burgert, Oliver

    2010-09-01

    Continuous video is used with increasing frequency in the operating room for minimally invasive laparoscopic and endoscopic procedures. Video data communication in the OR requires device interoperability, efficient data transfer methods, and specialized IT infrastructure. A framework for digital video communication based on a two channel client-server architecture was developed and tested. One channel is used for stream handling and the second channel is used for data streaming. A video stream description (VSD) specification is defined to negotiate video stream characteristics and ensure semantic interoperability. Quality assessment of the streamed data employs an image-based structural quality measure called the Structural Similarity (SSIM) Index. By introducing the stream description and a quality metric, the stream parameters can be modified as needed. The video communication framework ensures interoperability by defining interfaces for each of the streaming architecture modules. To prove the framework's feasibility, two prototype applications were developed and performance tests were performed on a dedicated OR network. The results showed acceptable network performance for streaming video in the OR network under clinically realistic conditions. An OR video communications framework was developed that uses existing OR network infrastructure as an economical alternative to dedicated integrated OR solutions. This framework provides functional and semantic interoperability among imaging modalities for continuous video data communication.

  13. New methodical approach to the assessment of video record which is used when training of judoists

    Directory of Open Access Journals (Sweden)

    Konstantin Ananchenko

    2016-09-01

    Full Text Available Purpose: to offer a new methodical approach for the assessment of video record which is used when training of judoists. Material & Methods: the assessment of video record, which is used in the course of training of judoists, was carried out in the research; the poll of 23 masters of sports of Ukraine and masters of sports of international class. Results: flexibility of a new methodical approach for the video record assessment is proved. Methodical approach assumes the use of unique mathematical apparatus – methods of pair comparisons and arrangement of priorities. It can be used for the assessment of video films for judoists of the various skill level, age, physical parameters for individual training of certain judoists at the correct selection of parameters of comparison. Conclusions: the use of the given methodical approach will promote the increase of efficiency of the competitive activity and coach's work, will allow judoists to reach high levels of individual skill.

  14. Object classification methods for application in FPGA based vehicle video detector

    Directory of Open Access Journals (Sweden)

    Wiesław PAMUŁA

    2009-01-01

    Full Text Available The paper presents a discussion of properties of object classification methods utilized in processing video streams from a camera. Methods based on feature extraction, model fitting and invariant determination are evaluated. Petri nets are used for modelling the processing flow. Data objects and transitions are defined which are suitable for efficient implementation in FPGA circuits. Processing characteristics and problems of the implementations are shown. An invariant based method is assessed as most suitable for application in a vehicle video detector.

  15. Dynamic Power-Saving Method for Wi-Fi Direct Based IoT Networks Considering Variable-Bit-Rate Video Traffic.

    Science.gov (United States)

    Jin, Meihua; Jung, Ji-Young; Lee, Jung-Ryun

    2016-10-12

    With the arrival of the era of Internet of Things (IoT), Wi-Fi Direct is becoming an emerging wireless technology that allows one to communicate through a direct connection between the mobile devices anytime, anywhere. In Wi-Fi Direct-based IoT networks, all devices are categorized by group of owner (GO) and client. Since portability is emphasized in Wi-Fi Direct devices, it is essential to control the energy consumption of a device very efficiently. In order to avoid unnecessary power consumed by GO, Wi-Fi Direct standard defines two power-saving methods: Opportunistic and Notice of Absence (NoA) power-saving methods. In this paper, we suggest an algorithm to enhance the energy efficiency of Wi-Fi Direct power-saving, considering the characteristics of multimedia video traffic. Proposed algorithm utilizes the statistical distribution for the size of video frames and adjusts the lengths of awake intervals in a beacon interval dynamically. In addition, considering the inter-dependency among video frames, the proposed algorithm ensures that a video frame having high priority is transmitted with higher probability than other frames having low priority. Simulation results show that the proposed method outperforms the traditional NoA method in terms of average delay and energy efficiency.

  16. STUDY OF BLOCKING EFFECT ELIMINATION METHODS BY MEANS OF INTRAFRAME VIDEO SEQUENCE INTERPOLATION

    Directory of Open Access Journals (Sweden)

    I. S. Rubina

    2015-01-01

    Full Text Available The paper deals with image interpolation methods and their applicability to eliminate some of the artifacts related to both the dynamic properties of objects in video sequences and algorithms used in the order of encoding steps. The main drawback of existing methods is the high computational complexity, unacceptable in video processing. Interpolation of signal samples for blocking - effect elimination at the output of the convertion encoding is proposed as a part of the study. It was necessary to develop methods for improvement of compression ratio and quality of the reconstructed video data by blocking effect elimination on the borders of the segments by intraframe interpolating of video sequence segments. The main point of developed methods is an adaptive recursive algorithm application with adaptive-sized interpolation kernel both with and without the brightness gradient consideration at the boundaries of objects and video sequence blocks. Within theoretical part of the research, methods of information theory (RD-theory and data redundancy elimination, methods of pattern recognition and digital signal processing, as well as methods of probability theory are used. Within experimental part of the research, software implementation of compression algorithms with subsequent comparison of the implemented algorithms with the existing ones was carried out. Proposed methods were compared with the simple averaging algorithm and the adaptive algorithm of central counting interpolation. The advantage of the algorithm based on the adaptive kernel size selection interpolation is in compression ratio increasing by 30%, and the advantage of the modified algorithm based on the adaptive interpolation kernel size selection is in the compression ratio increasing by 35% in comparison with existing algorithms, interpolation and quality of the reconstructed video sequence improving by 3% compared to the one compressed without interpolation. The findings will be

  17. Modeling human color categorization

    NARCIS (Netherlands)

    van den Broek, Egon; Schouten, Th.E.; Kisters, P.M.F.

    A unique color space segmentation method is introduced. It is founded on features of human cognition, where 11 color categories are used in processing color. In two experiments, human subjects were asked to categorize color stimuli into these 11 color categories, which resulted in markers for a

  18. Video Games as a Multifaceted Medium: A Review of Quantitative Social Science Research on Video Games and a Typology of Video Game Research Approaches

    Directory of Open Access Journals (Sweden)

    James D. Ivory

    2013-01-01

    Full Text Available Although there is a vast and useful body of quantitative social science research dealing with the social role and impact of video games, it is difficult to compare studies dealing with various dimensions of video games because they are informed by different perspectives and assumptions, employ different methodologies, and address different problems. Studies focusing on different social dimensions of video games can produce varied findings about games’ social function that are often difficult to reconcile— or even contradictory. Research is also often categorized by topic area, rendering a comprehensive view of video games’ social role across topic areas difficult. This interpretive review presents a novel typology of four identified approaches that categorize much of the quantitative social science video game research conducted to date: “video games as stimulus,” “video games as avocation,” “video games as skill,” and “video games as social environment.” This typology is useful because it provides an organizational structure within which the large and growing number of studies on video games can be categorized, guiding comparisons between studies on different research topics and aiding a more comprehensive understanding of video games’ social role. Categorizing the different approaches to video game research provides a useful heuristic for those critiquing and expanding that research, as well as an understandable entry point for scholars new to video game research. Further, and perhaps more importantly, the typology indicates when topics should be explored using different approaches than usual to shed new light on the topic areas. Lastly, the typology exposes the conceptual disconnects between the different approaches to video game research, allowing researchers to consider new ways to bridge gaps between the different approaches’ strengths and limitations with novel methods.

  19. Is Video-Based Education an Effective Method in Surgical Education? A Systematic Review.

    Science.gov (United States)

    Ahmet, Akgul; Gamze, Kus; Rustem, Mustafaoglu; Sezen, Karaborklu Argut

    2018-02-12

    Visual signs draw more attention during the learning process. Video is one of the most effective tool including a lot of visual cues. This systematic review set out to explore the influence of video in surgical education. We reviewed the current evidence for the video-based surgical education methods, discuss the advantages and disadvantages on the teaching of technical and nontechnical surgical skills. This systematic review was conducted according to the guidelines defined in the preferred reporting items for systematic reviews and meta-analyses statement. The electronic databases: the Cochrane Library, Medline (PubMED), and ProQuest were searched from their inception to the 30 January 2016. The Medical Subject Headings (MeSH) terms and keywords used were "video," "education," and "surgery." We analyzed all full-texts, randomised and nonrandomised clinical trials and observational studies including video-based education methods about any surgery. "Education" means a medical resident's or student's training and teaching process; not patients' education. We did not impose restrictions about language or publication date. A total of nine articles which met inclusion criteria were included. These trials enrolled 507 participants and the total number of participants per trial ranged from 10 to 172. Nearly all of the studies reviewed report significant knowledge gain from video-based education techniques. The findings of this systematic review provide fair to good quality studies to demonstrate significant gains in knowledge compared with traditional teaching. Additional video to simulator exercise or 3D animations has beneficial effects on training time, learning duration, acquisition of surgical skills, and trainee's satisfaction. Video-based education has potential for use in surgical education as trainees face significant barriers in their practice. This method is effective according to the recent literature. Video should be used in addition to standard techniques

  20. A MEDLINE categorization algorithm

    Science.gov (United States)

    Darmoni, Stefan J; Névéol, Aurelie; Renard, Jean-Marie; Gehanno, Jean-Francois; Soualmia, Lina F; Dahamna, Badisse; Thirion, Benoit

    2006-01-01

    Background Categorization is designed to enhance resource description by organizing content description so as to enable the reader to grasp quickly and easily what are the main topics discussed in it. The objective of this work is to propose a categorization algorithm to classify a set of scientific articles indexed with the MeSH thesaurus, and in particular those of the MEDLINE bibliographic database. In a large bibliographic database such as MEDLINE, finding materials of particular interest to a specialty group, or relevant to a particular audience, can be difficult. The categorization refines the retrieval of indexed material. In the CISMeF terminology, metaterms can be considered as super-concepts. They were primarily conceived to improve recall in the CISMeF quality-controlled health gateway. Methods The MEDLINE categorization algorithm (MCA) is based on semantic links existing between MeSH terms and metaterms on the one hand and between MeSH subheadings and metaterms on the other hand. These links are used to automatically infer a list of metaterms from any MeSH term/subheading indexing. Medical librarians manually select the semantic links. Results The MEDLINE categorization algorithm lists the medical specialties relevant to a MEDLINE file by decreasing order of their importance. The MEDLINE categorization algorithm is available on a Web site. It can run on any MEDLINE file in a batch mode. As an example, the top 3 medical specialties for the set of 60 articles published in BioMed Central Medical Informatics & Decision Making, which are currently indexed in MEDLINE are: information science, organization and administration and medical informatics. Conclusion We have presented a MEDLINE categorization algorithm in order to classify the medical specialties addressed in any MEDLINE file in the form of a ranked list of relevant specialties. The categorization method introduced in this paper is based on the manual indexing of resources with MeSH (terms

  1. High definition in minimally invasive surgery: a review of methods for recording, editing, and distributing video.

    Science.gov (United States)

    Kelly, Christopher R; Hogle, Nancy J; Landman, Jaime; Fowler, Dennis L

    2008-09-01

    The use of high-definition cameras and monitors during minimally invasive procedures can provide the surgeon and operating team with more than twice the resolution of standard definition systems. Although this dramatic improvement in visualization offers numerous advantages, the adoption of high definition cameras in the operating room can be challenging because new recording equipment must be purchased, and several new technologies are required to edit and distribute video. The purpose of this review article is to provide an overview of the popular methods for recording, editing, and distributing high-definition video. This article discusses the essential technical concepts of high-definition video, reviews the different kinds of equipment and methods most often used for recording, and describes several options for video distribution.

  2. Video Games in Volcanic Hazard Communications: Methods & Issues

    Science.gov (United States)

    Mani, Lara; Cole, Paul; Stewart, Iain

    2016-04-01

    Educational outreach plays a vital role in improving the resilience of vulnerable populations at risk from natural disasters. Currently, that activity is undertaken in many guises including the distribution of leaflets and posters, maps, presentations, education sessions and through radio and TV broadcasts. Such tried-and-tested communication modes generally target traditional stakeholder groups, but it is becoming increasingly important to engage with the new generation of learners who, due to advancements in technology, obtain information in ways different to their predecessors. That new generation is defined by a technological way of life and it remains a challenge to keep them motivated. On the eastern Caribbean island of St. Vincent, the La Soufriere Volcano lies in quiescence since the last eruption in 1979. Since then, an entire generation - over 56% of the population (Worldbank, 2015) - has little or no direct experience of a volcanic eruption. The island experiences, more frequently, other hazards (hurricanes, flooding, earthquakes landsliding), such that disaster preparedness measures give less priority to volcanic threats, which are deemed to pose less of a risk. With no accurate predictions to warn of the next eruption, it is especially important to educate residents about the potential of future volcanic hazards on the island, and to motivate them to prepare to mitigate their risk. This research critically examines the application of video games in supporting and enhancing existing public education and outreach programmes for volcanic hazards. St. Vincent's Volcano is a computer game designed to improve awareness and knowledge of the eruptive phenomena from La Soufriere that could pose a threat to residents. Within an interactive and immersive environment, players become acquainted with a 3D model of St. Vincent together with an overlay of the established volcanic hazard map (Robertson, 2005). Players are able to view visualisations of two historical

  3. Low-complexity video encoding method for wireless image transmission in capsule endoscope.

    Science.gov (United States)

    Takizawa, Kenichi; Hamaguchi, Kiyoshi

    2010-01-01

    This paper presents a low-complexity video encoding method applicable for wireless image transmission in capsule endoscopes. This encoding method is based on Wyner-Ziv theory, in which side information available at a transmitter is treated as side information at its receiver. Therefore complex processes in video encoding, such as estimation of the motion vector, are moved to the receiver side, which has a larger-capacity battery. As a result, the encoding process is only to decimate coded original data through channel coding. We provide a performance evaluation for a low-density parity check (LDPC) coding method in the AWGN channel.

  4. [Study on Therapeutic Effects of Ermiao Pill and Ermiao Pill Categorized Formula in Hyperuricemic Rats Using Spectroscopic Methods].

    Science.gov (United States)

    Chen, Wei-jia; Wu, Yi; Xu, Chen; Liu, Shu; Wang, Wen-zhe; Song, Feng-rui; Liu, Zhong-ying; Liu, Zhi-qiang

    2015-04-01

    A stable mouse model of hyperuricemia was established by intraperitoneal injection of xanthine and oxonate, comparing the water extracts (containing crude drug 360 mg · mL(-1)) of Ermiao pill categorized formula (The ratio of atractylodes lancea to cortex phellodendri was 1:1, 1:2 and 2:1, respectively) and Ermiao pill (360 mg · mL(-1)) administered to different groups of animals continuously for two weeks and assessing the protection or treatment of drug on hyperuricemia. The xanthine oxidase (XOD) activities in serum and liver were detected by ultraviolet-visible spectroscopy at 570 nm wavelength, The results showed that as compared with each group, the XOD activity of the model group was significantly increased in serum (p 0.05), but compared with the model group, the XOD activity of each treatment group was significantly lower in serum and liver (p Masson trichrome staining (Masson staining)for kidney paraffin sections. The results showed that the glomerular atrophy, vascular loops confusion, a certain degree of inflammatory cell infiltration, interstitial fibrosis and other phenomena appeared in the model group. Compared to model group, these pathological phenomena of the treatment groups were significantly improved. The area showed that compared with each group, the fibrosis of the model group was significantly increased (p < 0.01 or p < 0.05), but compared with Ermiao pill categorized formula, the differences for the group of Ermiao pill was lower (p < 0.01), especially for the group treated with Ermiao pill categorized formula with the ratio of Atractylodes lancea to Cortex Phellodendri being 1 : 2. In this experiment, the damage of kidney and XOD activity serve as the index to evaluate the protection or treatment of drug on hyperuricemia, providing a scientific basis for the development of Ermiao pill categorized formula.

  5. Mixed Methods Approach for Measuring the Impact of Video Telehealth on Outpatient Clinic Triage Nurse Workflow

    Science.gov (United States)

    Cady, Rhonda G.; Finkelstein, Stanley M.

    2015-01-01

    Nurse-delivered telephone triage is a common component of outpatient clinic settings. Adding new communication technology to clinic triage has the potential to not only transform the triage process, but also alter triage workflow. Evaluating the impact of new technology on an existing workflow is paramount to maximizing efficiency of the delivery system. This study investigated triage nurse workflow before and after the implementation of video telehealth using a sequential mixed methods protocol that combined ethnography and time-motion study to provide a robust analysis of the implementation environment. Outpatient clinic triage using video telehealth required significantly more time than telephone triage, indicating a reduction in nurse efficiency. Despite the increased time needed to conduct video telehealth, nurses consistently rated it useful in providing triage. Interpretive analysis of the qualitative and quantitative data suggests the increased depth and breadth of data available during video triage alters the assessment triage nurses provide physicians. This in turn could impact the time physicians spend formulating a diagnosis and treatment plan. While the immediate impact of video telehealth is a reduction in triage nurse efficiency, what is unknown is the impact of video telehealth on physician and overall clinic efficiency. Future studies should address this area. PMID:24080753

  6. A Comparison of Students' Performances Using Audio Only and Video Media Methods

    Science.gov (United States)

    Sulaiman, Norazean; Muhammad, Ahmad Mazli; Ganapathy, Nurul Nadiah Dewi Faizul; Khairuddin, Zulaikha; Othman, Salwa

    2017-01-01

    Listening is a very crucial skill to be learnt in second language classroom because it is essential for the development of spoken language proficiency (Hamouda, 2013). The aim of this study is to investigate the significant differences in terms of students' performance when using traditional (audio-only) method and video media method. The data of…

  7. Evaluating user preferences for video transfer methods from a mobile device to a TV screen

    DEFF Research Database (Denmark)

    Fleury, Alexandre; Pedersen, Jakob Schou; Larsen, Lars Bo

    2013-01-01

    This article reports on the evaluation of four methods for transferring video content from a mobile device to a fixed television. The methods have been investigated in a Wizard-of-Oz approach through two consecutive studies. The first experiment aimed at collecting general opinions toward such a ...

  8. Photo-acoustic and video-acoustic methods for sensing distant sound sources

    Science.gov (United States)

    Slater, Dan; Kozacik, Stephen; Kelmelis, Eric

    2017-05-01

    Long range telescopic video imagery of distant terrestrial scenes, aircraft, rockets and other aerospace vehicles can be a powerful observational tool. But what about the associated acoustic activity? A new technology, Remote Acoustic Sensing (RAS), may provide a method to remotely listen to the acoustic activity near these distant objects. Local acoustic activity sometimes weakly modulates the ambient illumination in a way that can be remotely sensed. RAS is a new type of microphone that separates an acoustic transducer into two spatially separated components: 1) a naturally formed in situ acousto-optic modulator (AOM) located within the distant scene and 2) a remote sensing readout device that recovers the distant audio. These two elements are passively coupled over long distances at the speed of light by naturally occurring ambient light energy or other electromagnetic fields. Stereophonic, multichannel and acoustic beam forming are all possible using RAS techniques and when combined with high-definition video imagery it can help to provide a more cinema like immersive viewing experience. A practical implementation of a remote acousto-optic readout device can be a challenging engineering problem. The acoustic influence on the optical signal is generally weak and often with a strong bias term. The optical signal is further degraded by atmospheric seeing turbulence. In this paper, we consider two fundamentally different optical readout approaches: 1) a low pixel count photodiode based RAS photoreceiver and 2) audio extraction directly from a video stream. Most of our RAS experiments to date have used the first method for reasons of performance and simplicity. But there are potential advantages to extracting audio directly from a video stream. These advantages include the straight forward ability to work with multiple AOMs (useful for acoustic beam forming), simpler optical configurations, and a potential ability to use certain preexisting video recordings. However

  9. System and method for image registration of multiple video streams

    Energy Technology Data Exchange (ETDEWEB)

    Dillavou, Marcus W.; Shum, Phillip Corey; Guthrie, Baron L.; Shenai, Mahesh B.; Deaton, Drew Steven; May, Matthew Benton

    2018-02-06

    Provided herein are methods and systems for image registration from multiple sources. A method for image registration includes rendering a common field of interest that reflects a presence of a plurality of elements, wherein at least one of the elements is a remote element located remotely from another of the elements and updating the common field of interest such that the presence of the at least one of the elements is registered relative to another of the elements.

  10. Automatable Evaluation Method Oriented toward Behaviour Believability for Video Games

    OpenAIRE

    Tencé, Fabien; Buche, Cédric

    2008-01-01

    International audience; Classic evaluation methods of believable agents are time-consuming because they involve many human to judge agents. They are well suited to validate work on new believable behaviours models. However, during the implementation, numerous experiments can help to improve agents' believability. We propose a method which aim at assessing how much an agent's behaviour looks like humans' behaviours. By representing behaviours with vectors, we can store data computed for humans...

  11. Video micrography of algae photomovement and vectorial method of biomonitoring

    Science.gov (United States)

    Posudin, Yuri I.; Massjuk, N. P.; Lilitskaya, G. G.

    1996-01-01

    The simultaneous recording of several photomovement parameters of algae as test-functions during biomonitoring is proposed. Green alga Dunaliella viridis Teod. was used as the test- object for the estimation of different heavy metals. The quantitative changes of photomovement parameters as a criterion of toxicity were determined by means of the vectorial method of biomonitoring.

  12. Adaptive Motor Resistance Video Game Exercise Apparatus and Method of Use Thereof

    Science.gov (United States)

    Reich, Alton (Inventor); Shaw, James (Inventor)

    2015-01-01

    The invention comprises a method and/or an apparatus using computer configured exercise equipment and an electric motor provided physical resistance in conjunction with a game system, such as a video game system, where the exercise system provides real physical resistance to a user interface. Results of user interaction with the user interface are integrated into a video game, such as running on a game console. The resistance system comprises: a subject interface, software control, a controller, an electric servo assist/resist motor, an actuator, and/or a subject sensor. The system provides actual physical interaction with a resistance device as input to the game console and game run thereon.

  13. Priority-based methods for reducing the impact of packet loss on HEVC encoded video streams

    Science.gov (United States)

    Nightingale, James; Wang, Qi; Grecos, Christos

    2013-02-01

    The rapid growth in the use of video streaming over IP networks has outstripped the rate at which new network infrastructure has been deployed. These bandwidth-hungry applications now comprise a significant part of all Internet traffic and present major challenges for network service providers. The situation is more acute in mobile networks where the available bandwidth is often limited. Work towards the standardisation of High Efficiency Video Coding (HEVC), the next generation video coding scheme, is currently on track for completion in 2013. HEVC offers the prospect of a 50% improvement in compression over the current H.264 Advanced Video Coding standard (H.264/AVC) for the same quality. However, there has been very little published research on HEVC streaming or the challenges of delivering HEVC streams in resource-constrained network environments. In this paper we consider the problem of adapting an HEVC encoded video stream to meet the bandwidth limitation in a mobile networks environment. Video sequences were encoded using the Test Model under Consideration (TMuC HM6) for HEVC. Network abstraction layers (NAL) units were packetized, on a one NAL unit per RTP packet basis, and transmitted over a realistic hybrid wired/wireless testbed configured with dynamically changing network path conditions and multiple independent network paths from the streamer to the client. Two different schemes for the prioritisation of RTP packets, based on the NAL units they contain, have been implemented and empirically compared using a range of video sequences, encoder configurations, bandwidths and network topologies. In the first prioritisation method the importance of an RTP packet was determined by the type of picture and the temporal switching point information carried in the NAL unit header. Packets containing parameter set NAL units and video coding layer (VCL) NAL units of the instantaneous decoder refresh (IDR) and the clean random access (CRA) pictures were given the

  14. Effects of Translation Methods in Imported Instructional Video Programs on Taiwan Fourth Graders' Memory.

    Science.gov (United States)

    Tyan, Nay-ching Nancy; Hu, Yi-chain

    The purpose of this study was to investigate the effects of various translation methods used in imported instructional video programs on Taiwan elementary school students' visual and verbal memory. Following pretesting, 128 fourth grade students from an urban public elementary school in northern Taiwan participated. The students in 4 experimental…

  15. Science on TeacherTube: A Mixed Methods Analysis of Teacher Produced Video

    Science.gov (United States)

    Chmiel, Margaret (Marjee)

    Increased bandwidth, inexpensive video cameras and easy-to-use video editing software have made social media sites featuring user generated video (UGV) an increasingly popular vehicle for online communication. As such, UGV have come to play a role in education, both formal and informal, but there has been little research on this topic in scholarly literature. In this mixed-methods study, a content and discourse analysis are used to describe the most successful UGV in the science channel of an education-focused site called TeacherTube. The analysis finds that state achievement tests, and their focus on vocabulary and recall-level knowledge, drive much of the content found on TeacherTube.

  16. Image denoising method based on FPGA in digital video transmission

    Science.gov (United States)

    Xiahou, Yaotao; Wang, Wanping; Huang, Tao

    2017-11-01

    In the image acquisition and transmission link, due to the acquisition of equipment and methods, the image would suffer some different degree of interference ,and the interference will reduce the quality of image which would influence the subsequent processing. Therefore, the image filtering and image enhancement are particularly important.The traditional image denoising algorithm smoothes the image while removing the noise, so that the details of the image are lost. In order to improve image quality and save image detail, this paper proposes an improved filtering algorithm based on edge detection, Gaussian filter and median filter. This method can not only reduce the noise effectively, but also the image details are saved relatively well, and the FPGA implementation scheme of this filter algorithm is also given in this paper.

  17. An automated method for analysis of microcirculation videos for accurate assessment of tissue perfusion

    Directory of Open Access Journals (Sweden)

    Demir Sumeyra U

    2012-12-01

    Full Text Available Abstract Background Imaging of the human microcirculation in real-time has the potential to detect injuries and illnesses that disturb the microcirculation at earlier stages and may improve the efficacy of resuscitation. Despite advanced imaging techniques to monitor the microcirculation, there are currently no tools for the near real-time analysis of the videos produced by these imaging systems. An automated system tool that can extract microvasculature information and monitor changes in tissue perfusion quantitatively might be invaluable as a diagnostic and therapeutic endpoint for resuscitation. Methods The experimental algorithm automatically extracts microvascular network and quantitatively measures changes in the microcirculation. There are two main parts in the algorithm: video processing and vessel segmentation. Microcirculatory videos are first stabilized in a video processing step to remove motion artifacts. In the vessel segmentation process, the microvascular network is extracted using multiple level thresholding and pixel verification techniques. Threshold levels are selected using histogram information of a set of training video recordings. Pixel-by-pixel differences are calculated throughout the frames to identify active blood vessels and capillaries with flow. Results Sublingual microcirculatory videos are recorded from anesthetized swine at baseline and during hemorrhage using a hand-held Side-stream Dark Field (SDF imaging device to track changes in the microvasculature during hemorrhage. Automatically segmented vessels in the recordings are analyzed visually and the functional capillary density (FCD values calculated by the algorithm are compared for both health baseline and hemorrhagic conditions. These results were compared to independently made FCD measurements using a well-known semi-automated method. Results of the fully automated algorithm demonstrated a significant decrease of FCD values. Similar, but more variable FCD

  18. Web-enabled video-feedback: a method to reflect on the communication skills of experienced physicians.

    NARCIS (Netherlands)

    Noordman, J.; Verhaak, P.; Dulmen, S. van

    2011-01-01

    OBJECTIVE: To describe our web-enabled video-feedback method designed to reflect on the communication skills of experienced physicians. METHODS: Participating physicians (n=28) received a 'personal web link' to two of their video-recorded consultations. After watching the consultations physicians

  19. A Novel 2D-to-3D Video Conversion Method Using Time-Coherent Depth Maps

    Directory of Open Access Journals (Sweden)

    Shouyi Yin

    2015-06-01

    Full Text Available In this paper, we propose a novel 2D-to-3D video conversion method for 3D entertainment applications. 3D entertainment is getting more and more popular and can be found in many contexts, such as TV and home gaming equipment. 3D image sensors are a new method to produce stereoscopic video content conveniently and at a low cost, and can thus meet the urgent demand for 3D videos in the 3D entertaiment market. Generally, 2D image sensor and 2D-to-3D conversion chip can compose a 3D image sensor. Our study presents a novel 2D-to-3D video conversion algorithm which can be adopted in a 3D image sensor. In our algorithm, a depth map is generated by combining global depth gradient and local depth refinement for each frame of 2D video input. Global depth gradient is computed according to image type while local depth refinement is related to color information. As input 2D video content consists of a number of video shots, the proposed algorithm reuses the global depth gradient of frames within the same video shot to generate time-coherent depth maps. The experimental results prove that this novel method can adapt to different image types, reduce computational complexity and improve the temporal smoothness of generated 3D video.

  20. A novel no-reference objective stereoscopic video quality assessment method based on visual saliency analysis

    Science.gov (United States)

    Yang, Xinyan; Zhao, Wei; Ye, Long; Zhang, Qin

    2017-07-01

    This paper proposes a no-reference objective stereoscopic video quality assessment method with the motivation that making the effect of objective experiments close to that of subjective way. We believe that the image regions with different visual salient degree should not have the same weights when designing an assessment metric. Therefore, we firstly use GBVS algorithm to each frame pairs and separate both the left and right viewing images into the regions with strong, general and week saliency. Besides, local feature information like blockiness, zero-crossing and depth are extracted and combined with a mathematical model to calculate a quality assessment score. Regions with different salient degree are assigned with different weights in the mathematical model. Experiment results demonstrate the superiority of our method compared with the existed state-of-the-art no-reference objective Stereoscopic video quality assessment methods.

  1. Children's Racial Categorization in Context.

    Science.gov (United States)

    Pauker, Kristin; Williams, Amanda; Steele, Jennifer R

    2016-03-01

    The ability to discriminate visually based on race emerges early in infancy: 3-month-olds can perceptually differentiate faces by race and 6-month-olds can perceptually categorize faces by race. Between ages 6 and 8 years, children can sort others into racial groups. But to what extent are these abilities influenced by context? In this article, we review studies on children's racial categorization and discuss how our conclusions are affected by how we ask the questions (i.e., our methods and stimuli), where we ask them (i.e., the diversity of the child's surrounding environment), and whom we ask (i.e., the diversity of the children we study). Taken together, we suggest that despite a developmental readiness to categorize others by race, the use of race as a psychologically salient basis for categorization is far from inevitable and is shaped largely by the experimental setting and the greater cultural context.

  2. Developing methods for assessing abundance and distribution of European oysters (Ostrea edulis using towed video.

    Directory of Open Access Journals (Sweden)

    Linnea Thorngren

    Full Text Available Due to large-scale habitat losses and increasing pressures, benthic habitats in general, and perhaps oyster beds in particular, are commonly in decline and severely threatened on regional and global scales. Appropriate and cost-efficient methods for mapping and monitoring of the distribution, abundance and quality of remaining oyster populations are fundamental for sustainable management and conservation of these habitats and their associated values. Towed video has emerged as a promising method for surveying benthic communities in a both non-destructive and cost-efficient way. Here we examine its use as a tool for quantification and monitoring of oyster populations by (i analysing how well abundances can be estimated and how living Ostrea edulis individuals can be distinguished from dead ones, (ii estimating the variability within and among observers as well as the spatial variability at a number of scales, and finally (iii evaluating the precision of estimated abundances under different scenarios for monitoring. Overall, the results show that the can be used to quantify abundance and occurrence of Ostrea edulis in heterogeneous environments. There was a strong correlation between abundances determined in the field and abundances estimated by video-analyses (r2 = 0.93, even though video analyses underestimated the total abundance of living oysters by 20%. Additionally, the method was largely repeatable within and among observers and revealed no evident bias in identification of living and dead oysters. We also concluded that the spatial variability was an order of magnitude larger than that due to observer errors. Subsequent modelling of precision showed that the total area sampled was the main determinant of precision and provided general method for determining precision. This study provides a thorough validation of the application of towed video on quantitative estimations of live oysters. The results suggest that the method can indeed be

  3. Towards a Video Passive Content Fingerprinting Method for Partial-Copy Detection Robust against Non-Simulated Attacks.

    Directory of Open Access Journals (Sweden)

    Zobeida Jezabel Guzman-Zavaleta

    Full Text Available Passive content fingerprinting is widely used for video content identification and monitoring. However, many challenges remain unsolved especially for partial-copies detection. The main challenge is to find the right balance between the computational cost of fingerprint extraction and fingerprint dimension, without compromising detection performance against various attacks (robustness. Fast video detection performance is desirable in several modern applications, for instance, in those where video detection involves the use of large video databases or in applications requiring real-time video detection of partial copies, a process whose difficulty increases when videos suffer severe transformations. In this context, conventional fingerprinting methods are not fully suitable to cope with the attacks and transformations mentioned before, either because the robustness of these methods is not enough or because their execution time is very high, where the time bottleneck is commonly found in the fingerprint extraction and matching operations. Motivated by these issues, in this work we propose a content fingerprinting method based on the extraction of a set of independent binary global and local fingerprints. Although these features are robust against common video transformations, their combination is more discriminant against severe video transformations such as signal processing attacks, geometric transformations and temporal and spatial desynchronization. Additionally, we use an efficient multilevel filtering system accelerating the processes of fingerprint extraction and matching. This multilevel filtering system helps to rapidly identify potential similar video copies upon which the fingerprint process is carried out only, thus saving computational time. We tested with datasets of real copied videos, and the results show how our method outperforms state-of-the-art methods regarding detection scores. Furthermore, the granularity of our method makes

  4. A Low Energy Consumption Storage Method for Cloud Video Surveillance Data Based on SLA Classification

    Directory of Open Access Journals (Sweden)

    Yonghua Xiong

    2016-01-01

    Full Text Available With the continuous expansion of the amount of data with time in mobile video applications such as cloud video surveillance (CVS, the increasing energy consumption in video data centers has drawn widespread attention for the past several years. Addressing the issue of reducing energy consumption, we propose a low energy consumption storage method specially designed for CVS systems based onthe service level agreement (SLA classification. A novel SLA with an extra parameter of access time period is proposed and then utilized as a criterion for dividing virtual machines (VMs and data storage nodes into different classifications. Tasks can be scheduled in real time for running on the homologous VMs and data storage nodes according to their access time periods. Any nodes whose access time periods do not encompass the current time will be placed into the energy saving state while others are in normal state with the capability of undertaking tasks. As a result, overall electric energy consumption in data centers is reduced while the SLA is fulfilled. To evaluate the performance, we compare the method with two related approaches using the Hadoop Distributed File System (HDFS. The results show the superiority and effectiveness of our method.

  5. A new error resilience method for FGS video enhancement bit-stream

    Science.gov (United States)

    Ma, Ran; Zhang, Zhao-yang; An, Ping

    2006-05-01

    Video streaming over the Internet usually encounters with bandwidth variations and packet losses, which impacted badly on the reconstructed video quality. Fine Granularity Scalability (FGS) can well provide bit-rate adaptability to different bandwidth conditions over the Internet, due to its fine granular and error resilience. However, the effective solution of packet losses is Multiple Description Coding (MDC), but a great deal of redundancy information is brought up. For an FGS video bit-stream, the base layer is usually very small and of high importance, error-free transmission could be achieved through classical error resilience technique. As a result, the overall streaming quality is mostly dependent on the enhancement layer. Moreover, it is worthy of note that the different bit-planes are of different importance, which are suitable to unequal protection (UEP) strategy. So, a new joint MDC and UEP method is proposed to protect the enhancement layer in this paper. In the proposed method, the MDC encoder/decoder is embedded into the normal enhancement layer encoder/decoder. By considering of the unequal protection of bit-plane and the redundancy of MDC, the two most significant bit-planes adopt the MDC-based strategy. While, the remaining bit-planes only encoded by normal enhancement layer coding system. Experimental results are demonstrated to testify the efficiency of our proposed method.

  6. Availability and performance of image/video-based vital signs monitoring methods: a systematic review protocol

    Directory of Open Access Journals (Sweden)

    Mirae Harford

    2017-10-01

    Full Text Available Abstract Background For many vital signs, monitoring methods require contact with the patient and/or are invasive in nature. There is increasing interest in developing still and video image-guided monitoring methods that are non-contact and non-invasive. We will undertake a systematic review of still and video image-based monitoring methods. Methods We will perform searches in multiple databases which include MEDLINE, Embase, CINAHL, Cochrane library, IEEE Xplore and ACM Digital Library. We will use OpenGrey and Google searches to access unpublished or commercial data. We will not use language or publication date restrictions. The primary goal is to summarise current image-based vital signs monitoring methods, limited to heart rate, respiratory rate, oxygen saturations and blood pressure. Of particular interest will be the effectiveness of image-based methods compared to reference devices. Other outcomes of interest include the quality of the method comparison studies with respect to published reporting guidelines, any limitations of non-contact non-invasive technology and application in different populations. Discussion To the best of our knowledge, this is the first systematic review of image-based non-contact methods of vital signs monitoring. Synthesis of currently available technology will facilitate future research in this highly topical area. Systematic review registration PROSPERO CRD42016029167

  7. Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools.

    Science.gov (United States)

    Denney, Christian; Fields, Ryan; Gleason, Mary; Starr, Richard

    2017-11-20

    The use of video camera systems in ecological studies of fish continues to gain traction as a viable, non-extractive method of measuring fish lengths and estimating fish abundance. We developed and implemented a rotating stereo-video camera tool that covers a full 360 degrees of sampling, which maximizes sampling effort compared to stationary camera tools. A variety of studies have detailed the ability of static, stereo-camera systems to obtain highly accurate and precise measurements of fish; the focus here was on the development of methodological approaches to quantify fish density using rotating camera systems. The first approach was to develop a modification of the metric MaxN, which typically is a conservative count of the minimum number of fish observed on a given camera survey. We redefine MaxN to be the maximum number of fish observed in any given rotation of the camera system. When precautions are taken to avoid double counting, this method for MaxN may more accurately reflect true abundance than that obtained from a fixed camera. Secondly, because stereo-video allows fish to be mapped in three-dimensional space, precise estimates of the distance-from-camera can be obtained for each fish. By using the 95% percentile of the observed distance from camera to establish species-specific areas surveyed, we account for differences in detectability among species while avoiding diluting density estimates by using the maximum distance a species was observed. Accounting for this range of detectability is critical to accurately estimate fish abundances. This methodology will facilitate the integration of rotating stereo-video tools in both applied science and management contexts.

  8. Categorization in the wild.

    Science.gov (United States)

    Glushko, Robert J; Maglio, Paul P; Matlock, Teenie; Barsalou, Lawrence W

    2008-04-01

    In studying categorization, cognitive science has focused primarily on cultural categorization, ignoring individual and institutional categorization. Because recent technological developments have made individual and institutional classification systems much more available and powerful, our understanding of the cognitive and social mechanisms that produce these systems is increasingly important. Furthermore, key aspects of categorization that have received little previous attention emerge from considering diverse types of categorization together, such as the social factors that create stability in classification systems, and the interoperability that shared conceptual systems establish between agents. Finally, the profound impact of recent technological developments on classification systems indicates that basic categorization mechanisms are highly adaptive, producing new classification systems as the situations in which they operate change.

  9. Availability and performance of image/video-based vital signs monitoring methods: a systematic review protocol.

    Science.gov (United States)

    Harford, Mirae; Catherall, Jacqueline; Gerry, Stephen; Young, Duncan; Watkinson, Peter

    2017-10-25

    For many vital signs, monitoring methods require contact with the patient and/or are invasive in nature. There is increasing interest in developing still and video image-guided monitoring methods that are non-contact and non-invasive. We will undertake a systematic review of still and video image-based monitoring methods. We will perform searches in multiple databases which include MEDLINE, Embase, CINAHL, Cochrane library, IEEE Xplore and ACM Digital Library. We will use OpenGrey and Google searches to access unpublished or commercial data. We will not use language or publication date restrictions. The primary goal is to summarise current image-based vital signs monitoring methods, limited to heart rate, respiratory rate, oxygen saturations and blood pressure. Of particular interest will be the effectiveness of image-based methods compared to reference devices. Other outcomes of interest include the quality of the method comparison studies with respect to published reporting guidelines, any limitations of non-contact non-invasive technology and application in different populations. To the best of our knowledge, this is the first systematic review of image-based non-contact methods of vital signs monitoring. Synthesis of currently available technology will facilitate future research in this highly topical area. PROSPERO CRD42016029167.

  10. Categorization of Radioxenon

    Energy Technology Data Exchange (ETDEWEB)

    Keller, Paul E.

    2012-04-26

    This report summarizes a study into some false positive issues in the use of radioxenon as a method to verify a clandestine nuclear weapons explosion. False positives arise due to similarities between the radioxenon signature generated in medical isotope production and that generated in a nuclear weapon explosion. This report also discusses how to categorize the radioxenon by levels of urgency for manual analysis and interpretation and recommends applying machine learning and time series analysis techniques in the automation of radioxenon characterization. The literature indicates that medical isotope production is a major contributor to atmospheric radioxenon and is the main source of confusion in determining the source of radioxenon. While radioxenon emissions from nuclear power plants can be distinguished from that from nuclear weapon explosions, emissions from medical isotope production generate signatures similar to certain nuclide ratios found in nuclear weapons explosions. Different techniques for analyzing nuclide concentrations and ratios as well as including other sensing modalities via sensor fusion are discussed.

  11. New technique combined with scanning and static method in true-color panel video display

    Science.gov (United States)

    Gu, Guohua; Chen, Qian; Bai, Lianfa; Zhang, Baomin

    1998-08-01

    A new technique, which combined with scanning and quasi- static method is presented. By the technique, when applied in true color panel video display, the matching of three primary colors can be more suitable, the brightness of the whole screen can be higher. At the same time, because of the using of scanning method, the cost of the system is not so high as that of ordinary system. Sampling of high distinguishability data, shaping and enhancing of image outline, nonlinear rectify of the primary colors are also discussed here.

  12. A novel statistical method to estimate the effective SNP size in vertebrate genomes and categorized genomic regions

    Directory of Open Access Journals (Sweden)

    Zhao Zhongming

    2006-12-01

    Full Text Available Abstract Background The local environment of single nucleotide polymorphisms (SNPs contains abundant genetic information for the study of mechanisms of mutation, genome evolution, and causes of diseases. Recent studies revealed that neighboring-nucleotide biases on SNPs were strong and the genome-wide bias patterns could be represented by a small subset of the total SNPs. It remains unsolved for the estimation of the effective SNP size, the number of SNPs that are sufficient to represent the bias patterns observed from the whole SNP data. Results To estimate the effective SNP size, we developed a novel statistical method, SNPKS, which considers both the statistical and biological significances. SNPKS consists of two major steps: to obtain an initial effective size by the Kolmogorov-Smirnov test (KS test and to find an intermediate effective size by interval evaluation. The SNPKS algorithm was implemented in computer programs and applied to the real SNP data. The effective SNP size was estimated to be 38,200, 39,300, 38,000, and 38,700 in the human, chimpanzee, dog, and mouse genomes, respectively, and 39,100, 39,600, 39,200, and 42,200 in human intergenic, genic, intronic, and CpG island regions, respectively. Conclusion SNPKS is the first statistical method to estimate the effective SNP size. It runs efficiently and greatly outperforms the algorithm implemented in SNPNB. The application of SNPKS to the real SNP data revealed the similar small effective SNP size (38,000 – 42,200 in the human, chimpanzee, dog, and mouse genomes as well as in human genomic regions. The findings suggest strong influence of genetic factors across vertebrate genomes.

  13. Who views graphic media and why? A mixed-methods study of the ISIS beheading videos

    OpenAIRE

    Redmond, Sarah Ann

    2017-01-01

    In the wake of large-scale disasters, many individuals seek out graphic news coverage of the event, but prior research has not examined who these individuals are and what motivates them to do so. The present study used a mixed-methods design to identify who seeks out graphic images, the correlates of viewing this coverage, and motivations for doing so by looking at individuals who watched a beheading video created by the terrorist group ISIS (Islamic State of Iraq and Syria). These questions ...

  14. Comparison of video and direct observation methods for measuring oral behaviour in veal calves

    Directory of Open Access Journals (Sweden)

    Marina Verga

    2010-01-01

    Full Text Available Measuring behaviour, especially oral behaviour, has always been a debated issue: therefore the aim of this paper is to closely examine the study of oral behaviour in calves and the approaching methodology. Behavioural observations were conducted by two media (direct observations by check sheets and indirect observations by videotapes recorded by cam- eras connected to a digital field switcher and a time-lapse video recorder in order to compare data and assess the reli- ability and validity of the two methods in identifying some oral behavioural patterns in calves. The study was carried out on 54 Polish Friesian calves housed in group pens and in individual crates. The behaviour of the calves was investigated during the fattening period on the 2nd, 7th, 13th, 18th and 23rd week, one hour before and one hour after each of the two meals. Two experienced observers checked the behaviour of the calves, including oral behaviours on structures and buckets and oral stereotypies, by direct observations using a scan sampling every 2 min- utes. The calves' behaviour was also video recorded on the same days in which the direct observations were carried out and analysed by the same two observers. Percentages of time spent on each type of behaviour were calculated and anal- ysed by Chi-square test. Regardless of the housing system, the comparison between direct and indirect observations revealed significant differences in almost every behavioural category. Licking, biting and nibbling structures, nibbling and sucking the bucket, playing with the bucket and the teat, chewing and oral stereotypies were significantly higher in direct observations compared to indirect (P < 0.001, while inactivity was higher in video recorded observations (P < 0.001. In conclusion, regardless of the type of housing, our results revealed an objective difficulty in analysing videotapes with very detailed behavioural categories, like oral behaviours. Although video recording can

  15. Impact of scan conversion methods on the performance of scalable video coding

    Science.gov (United States)

    Dubois, Eric; Baaziz, Nadia; Matta, Marwan

    1995-04-01

    The ability to flexibly access coded video data at different resolutions or bit rates is referred to as scalability. We are concerned here with the class of methods referred to as pyramidal embedded coding in which specific subsets of the binary data can be used to decode lower- resolution versions of the video sequence. Two key techniques in such a pyramidal coder are the scan-conversion operations of down-conversion and up-conversion. Down-conversion is required to produce the smaller, lower-resolution versions of the image sequence. Up- conversion is used to perform conditional coding, whereby the coded lower-resolution image is interpolated to the same resolution as the next higher image and used to assist in the encoding of that level. The coding efficiency depends on the accuracy of this up-conversion process. In this paper techniques for down-conversion and up-conversion are addressed in the context of a two-level pyramidal representation. We first present the pyramidal technique for spatial scalability and review the methods used in MPEG-2. We then discuss some enhanced methods for down- and up-conversion, and evaluate their performance in the context of the two-level scalable system.

  16. Use of the video transect method for characterizing the Itacolomis reefs, eastern Brazil

    Directory of Open Access Journals (Sweden)

    Igor C. S. Cruz

    2008-12-01

    Full Text Available The video-transect method consists of a field survey performed with a video-camera along a line of fixed length, with the registered images further analyzed using a computer. This method was successfully applied in Brazil for the first time in the coral reefs of Todos os Santos Bay. The main goal of this work was to define the minimum sampling effort needed to describe the coral community when the video-transect method was applied to a selected reef site, namely the Pedra do Silva Reef in the Itacolomis reef complex, inside the Corumbau Marine Extractive Reserve, in Southern Bahia. Each transect was analyzed throughout its length, in successive captured video frames. The findings revealed that six 20 m long transects with an analysis of twenty points per image (frame was sufficient for sampling the broad taxonomic categories of hard corals and major reef benthos, and that the whole field operation could be performed during one dive per station.O método do vídeo-transecto consiste em uma filmagem do fundo marinho ao longo de uma seção linear, e as imagens são posteriormente analisadas, em laboratório, na tela de um computador. Este método foi aplicado pela primeira vez no Brasil nos recifes do interior da Baía de Todos os Santos, com resultados satisfatórios. O objetivo deste trabalho foi determinar qual seria o menor esforço amostral na aplicação do vídeo transecto para avaliar a comunidade de coral do recife Pedra do Silva, no complexo de recifes dos Itacolomis, na Reserva Extrativista Marinha de Corumbau, no sul do estado da Bahia. Cada transécto foi analisado em toda a sua extensão em quadros sucessivos gerados com o congelamento da imagem na tela de um computador. Os resultados obtidos apontam o número de seis transéctos de 20 m de comprimento para uma análise de vinte pontos por quadro como adequada para a identificação taxonômica das principais categorias dos corais construtores e dos componentes da biota bent

  17. Issues and advances in research methods on video games and cognitive abilities

    National Research Council Canada - National Science Library

    Sobczyk, Bart; Dobrowolski, Paweł; Skorko, Maciek; Michalak, Jakub; Brzezicka, Aneta

    2015-01-01

    .... Some cross-sectional comparisons indicate the cognitive advantages of video game players (VGPs) over non-players (NVGPs) and the benefits of video game trainings, while others fail to replicate these findings...

  18. Reducing input data via image categorization to improve the speed of copyright content management systems

    Science.gov (United States)

    Ikeda, Kanami; Watanabe, Eriko

    2015-02-01

    An optical correlator has the advantage of high data transfer speed and parallel operation. However, in copyright content management systems (CCMSs), the numerous video files that need to be downloaded from the Internet and input to the optical correlator constitute a bottleneck. This paper proposes an image categorization method for CCMSs that uses the difference in the color features between animation and live-action images to remove this bottleneck and increase the speed of CCMSs. The results of experiments conducted indicate that the proposed method achieves a live-action video true rejection rate of 86.7 % and an animation video false rejection rate of 13.3 %. This indicates that the proposed method can improve the overall speed of a CCMS more than twice the original speed.

  19. Longitudinal categorical data analysis

    CERN Document Server

    Sutradhar, Brajendra C

    2014-01-01

    This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of univariate multinomial responses, by developing models systematically for the cases with no covariates as well as categorical covariates, both in cross-sectional and longitudinal setups. In the longitudinal setup, both stationary and non-stationary covariates are considered. These models have also been extended to the bivariate multinomial setup along with suitable covariates. For the inferences, the book uses the generalized quasi-likelihood as w...

  20. Ignorability for categorical data

    DEFF Research Database (Denmark)

    Jaeger, Manfred

    2005-01-01

    We study the problem of ignorability in likelihood-based inference from incomplete categorical data. Two versions of the coarsened at random assumption (car) are distinguished, their compatibility with the parameter distinctness assumption is investigated and several conditions for ignorability...

  1. Streaming video-based 3D reconstruction method compatible with existing monoscopic and stereoscopic endoscopy systems

    Science.gov (United States)

    Bouma, Henri; van der Mark, Wannes; Eendebak, Pieter T.; Landsmeer, Sander H.; van Eekeren, Adam W. M.; ter Haar, Frank B.; Wieringa, F. Pieter; van Basten, Jean-Paul

    2012-06-01

    Compared to open surgery, minimal invasive surgery offers reduced trauma and faster recovery. However, lack of direct view limits space perception. Stereo-endoscopy improves depth perception, but is still restricted to the direct endoscopic field-of-view. We describe a novel technology that reconstructs 3D-panoramas from endoscopic video streams providing a much wider cumulative overview. The method is compatible with any endoscope. We demonstrate that it is possible to generate photorealistic 3D-environments from mono- and stereoscopic endoscopy. The resulting 3D-reconstructions can be directly applied in simulators and e-learning. Extended to real-time processing, the method looks promising for telesurgery or other remote vision-guided tasks.

  2. A systematic review of methods for studying consumer health YouTube videos, with implications for systematic reviews.

    Science.gov (United States)

    Sampson, Margaret; Cumber, Jordi; Li, Claudia; Pound, Catherine M; Fuller, Ann; Harrison, Denise

    2013-01-01

    Background. YouTube is an increasingly important medium for consumer health information - with content provided by healthcare professionals, government and non-government organizations, industry, and consumers themselves. It is a rapidly developing area of study for healthcare researchers. We examine the methods used in reviews of YouTube consumer health videos to identify trends and best practices. Methods and Materials. Published reviews of consumer-oriented health-related YouTube videos were identified through PubMed. Data extracted from these studies included type of journal, topic, characteristics of the search, methods of review including number of reviewers and method to achieve consensus between reviewers, inclusion and exclusion criteria, characteristics of the videos reported, ethical oversight, and follow-up. Results. Thirty-three studies were identified. Most were recent and published in specialty journals. Typically, these included more than 100 videos, and were examined by multiple reviewers. Most studies described characteristics of the videos, number of views, and sometime characteristics of the viewers. Accuracy of portrayal of the health issue under consideration was a common focus. Conclusion. Optimal transparency and reproducibility of studies of YouTube health-related videos can be achieved by following guidance designed for systematic review reporting, with attention to several elements specific to the video medium. Particularly when seeking to replicate consumer viewing behavior, investigators should consider the method used to select search terms, and use a snowballing rather than a sequential screening approach. Discontinuation protocols for online screening of relevance ranked search results is an area identified for further development.

  3. A systematic review of methods for studying consumer health YouTube videos, with implications for systematic reviews

    Directory of Open Access Journals (Sweden)

    Margaret Sampson

    2013-09-01

    Full Text Available Background. YouTube is an increasingly important medium for consumer health information – with content provided by healthcare professionals, government and non-government organizations, industry, and consumers themselves. It is a rapidly developing area of study for healthcare researchers. We examine the methods used in reviews of YouTube consumer health videos to identify trends and best practices.Methods and Materials. Published reviews of consumer-oriented health-related YouTube videos were identified through PubMed. Data extracted from these studies included type of journal, topic, characteristics of the search, methods of review including number of reviewers and method to achieve consensus between reviewers, inclusion and exclusion criteria, characteristics of the videos reported, ethical oversight, and follow-up.Results. Thirty-three studies were identified. Most were recent and published in specialty journals. Typically, these included more than 100 videos, and were examined by multiple reviewers. Most studies described characteristics of the videos, number of views, and sometime characteristics of the viewers. Accuracy of portrayal of the health issue under consideration was a common focus.Conclusion. Optimal transparency and reproducibility of studies of YouTube health-related videos can be achieved by following guidance designed for systematic review reporting, with attention to several elements specific to the video medium. Particularly when seeking to replicate consumer viewing behavior, investigators should consider the method used to select search terms, and use a snowballing rather than a sequential screening approach. Discontinuation protocols for online screening of relevance ranked search results is an area identified for further development.

  4. A novel method to reduce time investment when processing videos from camera trap studies.

    Directory of Open Access Journals (Sweden)

    Kristijn R R Swinnen

    Full Text Available Camera traps have proven very useful in ecological, conservation and behavioral research. Camera traps non-invasively record presence and behavior of animals in their natural environment. Since the introduction of digital cameras, large amounts of data can be stored. Unfortunately, processing protocols did not evolve as fast as the technical capabilities of the cameras. We used camera traps to record videos of Eurasian beavers (Castor fiber. However, a large number of recordings did not contain the target species, but instead empty recordings or other species (together non-target recordings, making the removal of these recordings unacceptably time consuming. In this paper we propose a method to partially eliminate non-target recordings without having to watch the recordings, in order to reduce workload. Discrimination between recordings of target species and non-target recordings was based on detecting variation (changes in pixel values from frame to frame in the recordings. Because of the size of the target species, we supposed that recordings with the target species contain on average much more movements than non-target recordings. Two different filter methods were tested and compared. We show that a partial discrimination can be made between target and non-target recordings based on variation in pixel values and that environmental conditions and filter methods influence the amount of non-target recordings that can be identified and discarded. By allowing a loss of 5% to 20% of recordings containing the target species, in ideal circumstances, 53% to 76% of non-target recordings can be identified and discarded. We conclude that adding an extra processing step in the camera trap protocol can result in large time savings. Since we are convinced that the use of camera traps will become increasingly important in the future, this filter method can benefit many researchers, using it in different contexts across the globe, on both videos and

  5. Categorization of environmental sounds.

    Science.gov (United States)

    Guastavino, Catherine

    2007-03-01

    This paper investigates the way in which people categorize environmental sounds in their everyday lives. Previous research has shown that isolated environmental sounds are categorized on the basis of high-level semantic features when the sounds can be attributed to specific sound sources. However, in the presence of numerous sound sources, as occur in most real-world situations, the process of source identification is often hindered. In the present study, a free categorization task with open-ended verbal descriptions was used to investigate auditory categories for environmental sounds in complex real-world sonic environments. Two main categories emerged from the free-sort, reflecting the absence or presence of human activity in relation to hedonic judgments. At a subordinate level, subcategories were mediated by the participant's reported interactions with the environment through socialized activities. The spontaneous verbal descriptors collected were successful in discriminating categories. These findings indicate that complex environmental sounds are processed and categorized as meaningful events providing relevant information about the environment. The relevance of situational factors in categorization and the notion of auditory category in its relation to linguistic labeling are then discussed.

  6. A method of quantitative characterization for the component of C/C composites based on the PLM video

    Science.gov (United States)

    Li, Y. X.; Qi, L. H.; Song, Y. S.; Li, H. J.

    2016-07-01

    PLM video is used for studying the microstructure of C/C composites, because it contains the structure and motion information at the same time. It means that PLM video could provide more comprehensive microstructure features of C/C composites, and then the microstructure could be quantitatively characterized by image processing. However, several unavoidable displacements still exist in the PLM video, which could occur during the process of image acquisition. Therefore, an image registration method was put forward to correct the displacements by the phase correlation, and further to achieve the quantitative characterization of component combined with image fusion and threshold segmentation based on the PLM video of C/C composites. Specifically, PLM video was decomposed to a frame sequence firstly. Then a series of processes was carried out on this basis, including selecting the frame as equal interval, segmenting the static and dynamic regions and correcting the relative displacements between the adjacent frames. Meanwhile, the result of image registration was verified through image fusion, and it indicates that the proposed method could eliminate the displacements effectively. Finally, some operations of image processing were used to segment the components and calculate their fractions, thus the quantitative calculation was achieved successfully.

  7. Live versus Video Observations: Comparing the Reliability and Validity of Two Methods of Assessing Classroom Quality

    Science.gov (United States)

    Curby, Timothy W.; Johnson, Price; Mashburn, Andrew J.; Carlis, Lydia

    2016-01-01

    When conducting classroom observations, researchers are often confronted with the decision of whether to conduct observations live or by using pre-recorded video. The present study focuses on comparing and contrasting observations of live and video administrations of the Classroom Assessment Scoring System-PreK (CLASS-PreK). Associations between…

  8. Methods & Techniques: Techniques for Increasing Student Learning from Educational Videos: Notes Versus Guiding Questions

    Science.gov (United States)

    Lawson, Timothy J.; Bodle, James H.; McDonough, Tracy A.

    2007-01-01

    We examined the effectiveness of several techniques for enhancing student learning from educational videos. Introductory psychology students (N = 113) watched a video about intelligence and testing while taking notes, not taking notes, writing answers to guiding questions, or thinking about guiding questions without writing answers. Afterward,…

  9. Online Instructional Videos as a Complimentary Method of Teaching Practical Rehabilitation Skills for Groups and Individuals

    Science.gov (United States)

    Cooper, Darren; Higgins, Steve; Beckmann, Nadin

    2017-01-01

    Online instructional videos are becoming increasingly common within education. This study adopts a quasi-experimental 2 × 2 crossover design (control and experimental groups) to evaluate the efficacy of instructional videos to teach practical rehabilitation skills. The students performed practical sessions in class and were formatively assessed by…

  10. An On-Line Method for Thermal Diffusivity Detection of Thin Films Using Infrared Video

    Directory of Open Access Journals (Sweden)

    Dong Huilong

    2016-03-01

    Full Text Available A novel method for thermal diffusivity evolution of thin-film materials with pulsed Gaussian beam and infrared video is reported. Compared with common pulse methods performed in specialized labs, the proposed method implements a rapid on-line measurement without producing the off-centre detection error. Through mathematical deduction of the original heat conduction model, it is discovered that the area s, which is encircled by the maximum temperature curve rTMAX(θ, increases linearly over elapsed time. The thermal diffusivity is acquired from the growth rate of the area s. In this study, the off-centre detection error is avoided by performing the distance regularized level set evolution formulation. The area s was extracted from the binary images of temperature variation rate, without inducing errors from determination of the heat source centre. Thermal diffusivities of three materials, 304 stainless steel, titanium, and zirconium have been measured with the established on-line detection system, and the measurement errors are: −2.26%, −1.07%, and 1.61% respectively.

  11. A novel video tracking method to evaluate the effect of influenza infection and antiviral treatment on ferret activity.

    Science.gov (United States)

    Oh, Ding Yuan; Barr, Ian G; Hurt, Aeron C

    2015-01-01

    Ferrets are the preferred animal model to assess influenza virus infection, virulence and transmission as they display similar clinical symptoms and pathogenesis to those of humans. Measures of disease severity in the ferret include weight loss, temperature rise, sneezing, viral shedding and reduced activity. To date, the only available method for activity measurement has been the assignment of an arbitrary score by a 'blind' observer based on pre-defined responsiveness scale. This manual scoring method is subjective and can be prone to bias. In this study, we described a novel video-tracking methodology for determining activity changes in a ferret model of influenza infection. This method eliminates the various limitations of manual scoring, which include the need for a sole 'blind' observer and the requirement to recognise the 'normal' activity of ferrets in order to assign relative activity scores. In ferrets infected with an A(H1N1)pdm09 virus, video-tracking was more sensitive than manual scoring in detecting ferret activity changes. Using this video-tracking method, oseltamivir treatment was found to ameliorate the effect of influenza infection on activity in ferret. Oseltamivir treatment of animals was associated with an improvement in clinical symptoms, including reduced inflammatory responses in the upper respiratory tract, lower body weight loss and a smaller rise in body temperature, despite there being no significant reduction in viral shedding. In summary, this novel video-tracking is an easy-to-use, objective and sensitive methodology for measuring ferret activity.

  12. "Sure, I Would Like to Continue": A Method for Mapping the Experience of Engagement in Video Games

    Science.gov (United States)

    Schonau-Fog, Henrik; Bjorner, Thomas

    2012-01-01

    In order to explore one aspect of the engaging nature of computer games, this study will propose a method that aims at classifying the experience of engagement in video games. Inspired by a literature review, we will focus on the fundamental causes of engagement that motivate a player so much that he or she wants to continue playing. By organizing…

  13. Video-based eyetracking methods and algorithms in head-mounted displays

    Science.gov (United States)

    Hua, Hong; Krishnaswamy, Prasanna; Rolland, Jannick P.

    2006-05-01

    Head pose is utilized to approximate a user’s line-of-sight for real-time image rendering and interaction in most of the 3D visualization applications using head-mounted displays (HMD). The eye often reaches an object of interest before the completion of most head movements. It is highly desirable to integrate eye-tracking capability into HMDs in various applications. While the added complexity of an eyetracked-HMD (ET-HMD) imposes challenges on designing a compact, portable, and robust system, the integration offers opportunities to improve eye tracking accuracy and robustness. In this paper, based on the modeling of an eye imaging and tracking system, we examine the challenges and identify parametric requirements for video-based pupil-glint tracking methods in an ET-HMD design, and predict how these parameters may affect the tracking accuracy, resolution, and robustness. We further present novel methods and associated algorithms that effectively improve eye-tracking accuracy and extend the tracking range.

  14. Research of Block-Based Motion Estimation Methods for Video Compression

    Directory of Open Access Journals (Sweden)

    Tropchenko Andrey

    2016-08-01

    Full Text Available This work is a review of the block-based algorithms used for motion estimation in video compression. It researches different types of block-based algorithms that range from the simplest named Full Search to the fast adaptive algorithms like Hierarchical Search. The algorithms evaluated in this paper are widely accepted by the video compressing community and have been used in implementing various standards, such as MPEG-4 Visual and H.264. The work also presents a very brief introduction to the entire flow of video compression.

  15. A Smart Video Coding Method for Time Lag Reduction in Telesurgery

    National Research Council Canada - National Science Library

    Sun, Mingui; Liu, Qiang; Xu, Jian; Kassam, Amin; Enos, Sharon E; Marchessault, Ronald; Gilbert, Gary; Sclabassi, Robert J

    2006-01-01

    .... These advances have made remotely operable telemedicine possible. However, a key technology that rapidly encodes, transmits, and decodes surgical video with the minimum round-trip delay and the least influence by network jitter...

  16. Analysis of categorical data with R

    CERN Document Server

    Bilder, Christopher R

    2014-01-01

    Learn How to Properly Analyze Categorical DataAnalysis of Categorical Data with R presents a modern account of categorical data analysis using the popular R software. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them.The Use of R as Both a Data Analysis Method and a Learning ToolRequiring no prior experience with R, the text offers an introduction to the essent

  17. Adhesives: Test Method, Group Assignment, and Categorization Guide for High-Loading-Rate Applications Preparation and Testing of Single Lap Joints (Ver. 2.2, Unlimited)

    Science.gov (United States)

    2016-04-01

    a starting point, the operator should refer to the manufacturer’s technical data sheet (TDS) and MSDS for preliminary guidance. Operator safety is...Step 4 Place the bottom lap-joint coupon panel opposite to the bottom shim on top of the release sheet , tabs facing inward, with the prepared tab...Assignment, and Categorization Guide for High-Loading- Rate Applications – Preparation and Testing of Single Lap Joints (Ver. 2.2, Unlimited) by

  18. Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

    Science.gov (United States)

    Zhou, Teng; Han, Guoqiang; Li, Bing Nan; Lin, Zhizhe; Ciaccio, Edward J; Green, Peter H; Qin, Jing

    2017-06-01

    Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to characterize celiac disease, but hours are need to manually analyze the retrospective data of a single patient. Computer-aided quantitative analysis by a deep learning method helps in alleviating the workload during analysis of the retrospective videos. Capsule endoscopy clips from 6 celiac disease patients and 5 controls were preprocessed for training. The frames with a large field of opaque extraluminal fluid or air bubbles were removed automatically by using a pre-selection algorithm. Then the frames were cropped and the intensity was corrected prior to frame rotation in the proposed new method. The GoogLeNet is trained with these frames. Then, the clips of capsule endoscopy from 5 additional celiac disease patients and 5 additional control patients are used for testing. The trained GoogLeNet was able to distinguish the frames from capsule endoscopy clips of celiac disease patients vs controls. Quantitative measurement with evaluation of the confidence was developed to assess the severity level of pathology in the subjects. Relying on the evaluation confidence, the GoogLeNet achieved 100% sensitivity and specificity for the testing set. The t-test confirmed the evaluation confidence is significant to distinguish celiac disease patients from controls. Furthermore, it is found that the evaluation confidence may also relate to the severity level of small bowel mucosal lesions. A deep convolutional neural network was established for quantitative measurement of the existence and degree of pathology throughout the small intestine, which may improve computer-aided clinical techniques to assess mucosal atrophy and other etiologies in real-time with videocapsule endoscopy. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. The Effect of Communication Skills Training by Video Feedback Method on Clinical Skills of Interns of Isfahan University of Medical Sciences Compared to Didactic Methods

    Science.gov (United States)

    Managheb, S. E.; Zamani, A.; Shams, B.; Farajzadegan, Z.

    2012-01-01

    Background: Effective communication is essential to the practice of high-quality medicine. There are methodological challenges in communication skills training. This study was performed in order to assess the educational benefits of communication skills training by video feedback method versus traditional formats such as lectures on clinical…

  20. Categorical database generalization in GIS

    NARCIS (Netherlands)

    Liu, Y.

    2002-01-01

    Key words: Categorical database, categorical database generalization, Formal data structure, constraints, transformation unit, classification hierarchy, aggregation hierarchy, semantic similarity, data model,

  1. Issues and advances in research methods on video games and cognitive abilities

    Science.gov (United States)

    Sobczyk, Bart; Dobrowolski, Paweł; Skorko, Maciek; Michalak, Jakub; Brzezicka, Aneta

    2015-01-01

    The impact of video game playing on cognitive abilities has been the focus of numerous studies over the last 10 years. Some cross-sectional comparisons indicate the cognitive advantages of video game players (VGPs) over non-players (NVGPs) and the benefits of video game trainings, while others fail to replicate these findings. Though there is an ongoing discussion over methodological practices and their impact on observable effects, some elementary issues, such as the representativeness of recruited VGP groups and lack of genre differentiation have not yet been widely addressed. In this article we present objective and declarative gameplay time data gathered from large samples in order to illustrate how playtime is distributed over VGP populations. The implications of this data are then discussed in the context of previous studies in the field. We also argue in favor of differentiating video games based on their genre when recruiting study samples, as this form of classification reflects the core mechanics that they utilize and therefore provides a measure of insight into what cognitive functions are likely to be engaged most. Additionally, we present the Covert Video Game Experience Questionnaire as an example of how this sort of classification can be applied during the recruitment process. PMID:26483717

  2. Issues and Advances in Research Methods on Video Games and Cognitive Abilities

    Directory of Open Access Journals (Sweden)

    Bart eSobczyk

    2015-09-01

    Full Text Available The impact of video game playing on cognitive abilities has been the focus of numerous studies over the last 10 years. Some cross-sectional comparisons indicate the cognitive advantages of video game players (VGPs over non-players (NVGPs and the benefits of video game trainings, while others fail to replicate these findings. Though there is an ongoing discussion over methodological practices and their impact on observable effects, some elementary issues, such as the representativeness of recruited VGP groups and lack of genre differentiation have not yet been widely addressed. In this article we present objective and declarative gameplay time data gathered from large samples in order to illustrate how playtime is distributed over VGP populations. The implications of this data are then discussed in the context of previous studies in the field. We also argue in favor of differentiating video games based on their genre when recruiting study samples, as this form of classification reflects the core mechanics that they utilize and therefore provides a measure of insight into what cognitive functions are likely to be engaged most. Additionally, we present the Covert Video Game Experience Questionnaire as an example of how this sort of classification can be applied during the recruitment process.

  3. Issues and advances in research methods on video games and cognitive abilities.

    Science.gov (United States)

    Sobczyk, Bart; Dobrowolski, Paweł; Skorko, Maciek; Michalak, Jakub; Brzezicka, Aneta

    2015-01-01

    The impact of video game playing on cognitive abilities has been the focus of numerous studies over the last 10 years. Some cross-sectional comparisons indicate the cognitive advantages of video game players (VGPs) over non-players (NVGPs) and the benefits of video game trainings, while others fail to replicate these findings. Though there is an ongoing discussion over methodological practices and their impact on observable effects, some elementary issues, such as the representativeness of recruited VGP groups and lack of genre differentiation have not yet been widely addressed. In this article we present objective and declarative gameplay time data gathered from large samples in order to illustrate how playtime is distributed over VGP populations. The implications of this data are then discussed in the context of previous studies in the field. We also argue in favor of differentiating video games based on their genre when recruiting study samples, as this form of classification reflects the core mechanics that they utilize and therefore provides a measure of insight into what cognitive functions are likely to be engaged most. Additionally, we present the Covert Video Game Experience Questionnaire as an example of how this sort of classification can be applied during the recruitment process.

  4. Observational Review and Analysis of Concussion: a Method for Conducting a Standardized Video Analysis of Concussion in Rugby League.

    Science.gov (United States)

    Gardner, Andrew J; Levi, Christopher R; Iverson, Grant L

    2017-12-01

    Several professional contact and collision sports have recently introduced the use of sideline video review for club medical staff to help identify and manage concussions. As such, reviewing video footage on the sideline has become increasingly relied upon to assist with improving the identification of possible injury. However, as yet, a standardized method for reviewing such video footage in rugby league has not been published. The aim of this study is to evaluate whether independent raters reliably agreed on the injury characterization when using a standardized observational instrument to record video footage of National Rugby League (NRL) concussions. Video footage of 25 concussions were randomly selected from a pool of 80 medically diagnosed concussions from the 2013-2014 NRL seasons. Four raters (two naïve and two expert) independently viewed video footage of 25 NRL concussions and completed the Observational Review and Analysis of Concussion form for the purpose of this inter-rater reliability study. The inter-rater reliability was calculated using Cohen's kappa (κ) and intra-class correlation (ICC) statistics. The two naïve raters and the two expert raters were compared with one another separately. A considerable number of components for the naïve and expert raters had almost perfect agreement (κ or ICC value ≥ 0.9), 9 of 22 (41%) components for naïve raters and 21 of 22 (95%) components for expert raters. For the concussion signs, however, the majority of the rating agreement was moderate (κ value 0.6-0.79); both the naïve and expert raters had 4 of 6 (67%) concussion signs with moderate agreement. The most difficult concussion sign to achieve agreement on was blank or vacant stare, which had weak (κ value 0.4-0.59) agreement for both naïve and expert raters. There appears to be value in expert raters, but less value for naive raters, in using the new Observational Review and Analysis of Concussion (ORAC) Form. The ORAC Form has high inter

  5. Comparison of Imputation Methods for Handling Missing Categorical Data with Univariate Pattern // Una comparación de métodos de imputación de variables categóricas con patrón univariado

    OpenAIRE

    Torres Munguía, Juan Armando

    2014-01-01

    This paper examines the sample proportions estimates in the presence of univariate missing categorical data. A database about smoking habits (2011 National Addiction Survey of Mexico) was used to create simulated yet realistic datasets at rates 5% and 15% of missingness, each for MCAR, MAR and MNAR mechanisms. Then the performance of six methods for addressing missingness is evaluated: listwise, mode imputation, random imputation, hot-deck, imputation by polytomous regression and random fores...

  6. Students' Perceptions on Using Different Listening Assessment Methods: Audio-Only and Video Media

    Science.gov (United States)

    Sulaiman, Norazean; Muhammad, Ahmad Mazli; Ganapathy, Nurul Nadiah Dewi Faizul; Khairuddin, Zulaikha; Othman, Salwa

    2017-01-01

    The importance and usefulness of incorporating video media elements to teach listening have become part of the general understanding and commonplace in the academia nowadays (Alonso, 2013; Macwan, 2015; Garcia, 2012). Hence, it is of vital importance that students are taught effectively and assessed accordingly on their listening skills. The…

  7. Principal-Generated YouTube Video as a Method of Improving Parental Involvement

    Science.gov (United States)

    Richards, Joey

    2013-01-01

    The purpose of this study was to evaluate the involvement level of parents and reveal whether principal-generated YouTube videos for regular communication would enhance levels of parental involvement at one North Texas Christian Middle School (pseudonym). The following questions guided this study: 1. What is the beginning level of parental…

  8. Characteristics of "Music Education" Videos Posted on Youtube

    Science.gov (United States)

    Whitaker, Jennifer A.; Orman, Evelyn K.; Yarbrough, Cornelia

    2014-01-01

    This content analysis sought to determine information related to users uploading, general content, and specific characteristics of music education videos on YouTube. A total of 1,761 videos from a keyword search of "music education" were viewed and categorized. Results for relevant videos indicated users posted videos under 698 different…

  9. Categorizing entities by common role.

    Science.gov (United States)

    Goldwater, Micah B; Markman, Arthur B

    2011-04-01

    Many categories group together entities that play a common role across situations. For example, guest and host refer to complementary roles in visiting situations and, thus, are role-governed categories (A. B. Markman & Stilwell, Journal of Experiment & Theoretical Artificial Intelligence, 13, 329-358, 2001). However, categorizing an entity by role is one of many possible classification strategies. This article examines factors that promote role-governed categorization over thematic-relation-based categorization (Lin & Murphy, Journal of Experimental Psychology: General, 130, 3-28, 2001). In Experiments 1a and 1b, we demonstrate that the use of novel category labels facilitates role-governed categorization. In Experiments 2a and 2b, we demonstrate that analogical comparison facilitates role-governed categorization. In Experiments 1b and 2b, we show that these facilitatory factors induce a general sensitivity to role information, as opposed to only promoting role-governed categorization on an item-by-item basis.

  10. Using video games for volcanic hazard education and communication: an assessment of the method and preliminary results

    Science.gov (United States)

    Mani, Lara; Cole, Paul D.; Stewart, Iain

    2016-07-01

    This paper presents the findings from a study aimed at understanding whether video games (or serious games) can be effective in enhancing volcanic hazard education and communication. Using the eastern Caribbean island of St. Vincent, we have developed a video game - St. Vincent's Volcano - for use in existing volcano education and outreach sessions. Its twin aims are to improve residents' knowledge of potential future eruptive hazards (ash fall, pyroclastic flows and lahars) and to integrate traditional methods of education in a more interactive manner. Here, we discuss the process of game development including concept design through to the final implementation on St. Vincent. Preliminary results obtained from the final implementation (through pre- and post-test knowledge quizzes) for both student and adult participants provide indications that a video game of this style may be effective in improving a learner's knowledge. Both groups of participants demonstrated a post-test increase in their knowledge quiz score of 9.3 % for adults and 8.3 % for students and, when plotted as learning gains (Hake, 1998), show similar overall improvements (0.11 for adults and 0.09 for students). These preliminary findings may provide a sound foundation for the increased integration of emerging technologies within traditional education sessions. This paper also shares some of the challenges and lessons learnt throughout the development and testing processes and provides recommendations for researchers looking to pursue a similar study.

  11. Participant satisfaction with a school telehealth education program using interactive compressed video delivery methods in rural Arkansas.

    Science.gov (United States)

    Bynum, Ann B; Cranford, Charles O; Irwin, Cathy A; Denny, George S

    2002-08-01

    Socioeconomic and demographic factors can affect the impact of telehealth education programs that use interactive compressed video technology. This study assessed program satisfaction among participants in the University of Arkansas for Medical Sciences' School Telehealth Education Program delivered by interactive compressed video. Variables in the one-group posttest study were age, gender, ethnicity, education, community size, and program topics for years 1997-1999. The convenience sample included 3,319 participants in junior high and high schools. The School Telehealth Education Program provided information about health risks, disease prevention, health promotion, personal growth, and health sciences. Adolescents reported medium to high levels of satisfaction regarding program interest and quality. Significantly higher satisfaction was expressed for programs on muscular dystrophy, anatomy of the heart, and tobacco addiction (p Education Program, delivered by interactive compressed video, promoted program satisfaction among rural and minority populations and among junior high and high school students. Effective program methods included an emphasis on participants' learning needs, increasing access in rural areas among ethnic groups, speaker communication, and clarity of the program presentation.

  12. Contextual analysis of videos

    CERN Document Server

    Thida, Myo; Monekosso, Dorothy

    2013-01-01

    Video context analysis is an active and vibrant research area, which provides means for extracting, analyzing and understanding behavior of a single target and multiple targets. Over the last few decades, computer vision researchers have been working to improve the accuracy and robustness of algorithms to analyse the context of a video automatically. In general, the research work in this area can be categorized into three major topics: 1) counting number of people in the scene 2) tracking individuals in a crowd and 3) understanding behavior of a single target or multiple targets in the scene.

  13. 'People like me don't make things like that': Participatory video as a method for reducing leprosy-related stigma.

    Science.gov (United States)

    Peters, R M H; Zweekhorst, M B M; van Brakel, W H; Bunders, J F G; Irwanto

    2016-01-01

    The Stigma Assessment and Reduction of Impact project aims to assess the effectiveness of stigma-reduction interventions in the field of leprosy. Participatory video seemed to be a promising approach to reducing stigma among stigmatized individuals (in this study the video makers) and the stigmatisers (video audience). This study focuses on the video makers and seeks to assess the impact on them of making a participatory video and to increase understanding of how to deal with foreseeable difficulties. Participants were selected on the basis of criteria and in collaboration with the community health centre. This study draws on six qualitative methods including interviews with the video makers and participant observation. Triangulation was used to increase the validity of the findings. Two videos were produced. The impact on participants ranged from having a good time to a greater sense of togetherness, increased self-esteem, individual agency and willingness to take action in the community. Concealment of leprosy is a persistent challenge, and physical limitations and group dynamics are also areas that require attention. Provided these three areas are properly taken into account, participatory video has the potential to address stigma at least at three levels - intrapersonal, interpersonal and community - and possibly more.

  14. How the "Understanding Research Evidence" Web-Based Video Series From the National Collaborating Centre for Methods and Tools Contributes to Public Health Capacity to Practice Evidence-Informed Decision Making: Mixed-Methods Evaluation.

    Science.gov (United States)

    Chan, Linda; Mackintosh, Jeannie; Dobbins, Maureen

    2017-09-28

    The National Collaborating Centre for Methods and Tools (NCCMT) offers workshops and webinars to build public health capacity for evidence-informed decision-making. Despite positive feedback for NCCMT workshops and resources, NCCMT users found key terms used in research papers difficult to understand. The Understanding Research Evidence (URE) videos use plain language, cartoon visuals, and public health examples to explain complex research concepts. The videos are posted on the NCCMT website and YouTube channel. The first four videos in the URE web-based video series, which explained odds ratios (ORs), confidence intervals (CIs), clinical significance, and forest plots, were evaluated. The evaluation examined how the videos affected public health professionals' practice. A mixed-methods approach was used to examine the delivery mode and the content of the videos. Specifically, the evaluation explored (1) whether the videos were effective at increasing knowledge on the four video topics, (2) whether public health professionals were satisfied with the videos, and (3) how public health professionals applied the knowledge gained from the videos in their work. A three-part evaluation was conducted to determine the effectiveness of the first four URE videos. The evaluation included a Web-based survey, telephone interviews, and pretest and posttests, which evaluated public health professionals' experience with the videos and how the videos affected their public health work. Participants were invited to participate in this evaluation through various open access, public health email lists, through informational flyers and posters at the Canadian Public Health Association (CPHA) conference, and through targeted recruitment to NCCMT's network. In the Web-based surveys (n=46), participants achieved higher scores on the knowledge assessment questions from watching the OR (P=.04), CI (P=.04), and clinical significance (P=.05) videos but not the forest plot (P=.12) video, as

  15. Collision count in rugby union: A comparison of micro-technology and video analysis methods.

    Science.gov (United States)

    Reardon, Cillian; Tobin, Daniel P; Tierney, Peter; Delahunt, Eamonn

    2017-10-01

    The aim of our study was to determine if there is a role for manipulation of g force thresholds acquired via micro-technology for accurately detecting collisions in rugby union. In total, 36 players were recruited from an elite Guinness Pro12 rugby union team. Player movement profiles and collisions were acquired via individual global positioning system (GPS) micro-technology units. Players were assigned to a sub-category of positions in order to determine positional collision demands. The coding of collisions by micro-technology at g force thresholds between 2 and 5.5 g (0.5 g increments) was compared with collision coding by an expert video analyst using Bland-Altman assessments. The most appropriate g force threshold (smallest mean difference compared with video analyst coding) was lower for all forwards positions (2.5 g) than for all backs positions (3.5 g). The Bland-Altman 95% limits of agreement indicated that there may be a substantial over- or underestimation of collisions coded via GPS micro-technology when using expert video analyst coding as the reference comparator. The manipulation of the g force thresholds applied to data acquired by GPS micro-technology units based on incremental thresholds of 0.5 g does not provide a reliable tool for the accurate coding of collisions in rugby union. Future research should aim to investigate smaller g force threshold increments and determine the events that cause coding of false positives.

  16. Multileaf collimator leaf position verification and analysis for adaptive radiation therapy using a video-optical method

    Science.gov (United States)

    Sethna, Sohrab B.

    External beam radiation therapy is commonly used to eliminate and control cancerous tumors. High-energy beams are shaped to match the patient's specific tumor volume, whereby maximizing radiation dose to malignant cells and limiting dose to normal tissue. A multileaf collimator (MLC) consisting of multiple pairs of tungsten leaves is used to conform the radiation beam to the desired treatment field. Advanced treatment methods utilize dynamic MLC settings to conform to multiple treatment fields and provide intensity modulated radiation therapy (IMRT). Future methods would further increase conformity by actively tracking tumor motion caused by patient cardiac and respiratory motion. Leaf position quality assurance for a dynamic MLC is critical as variation between the planned and actual leaf positions could induce significant errors in radiation dose. The goal of this research project is to prototype a video-optical quality assurance system for MLC leaf positions. The system captures light-field images of MLC leaf sequences during dynamic therapy. Image acquisition and analysis software was developed to determine leaf edge positions. The mean absolute difference between QA prototype predicted and caliper measured leaf positions was found to be 0.6 mm with an uncertainty of +/- 0.3 mm. Maximum errors in predicted positions were below 1.0 mm for static fields. The prototype served as a proof of concept for quality assurance of future tumor tracking methods. Specifically, a lung tumor phantom was created to mimic a lung tumor's motion from respiration. The lung tumor video images were superimposed on MLC field video images for visualization and analysis. The toolbox is capable of displaying leaf position, leaf velocity, tumor position, and determining errors between planned and actual treatment fields for dynamic radiation therapy.

  17. Biological origins of color categorization.

    Science.gov (United States)

    Skelton, Alice E; Catchpole, Gemma; Abbott, Joshua T; Bosten, Jenny M; Franklin, Anna

    2017-05-23

    The biological basis of the commonality in color lexicons across languages has been hotly debated for decades. Prior evidence that infants categorize color could provide support for the hypothesis that color categorization systems are not purely constructed by communication and culture. Here, we investigate the relationship between infants' categorization of color and the commonality across color lexicons, and the potential biological origin of infant color categories. We systematically mapped infants' categorical recognition memory for hue onto a stimulus array used previously to document the color lexicons of 110 nonindustrialized languages. Following familiarization to a given hue, infants' response to a novel hue indicated that their recognition memory parses the hue continuum into red, yellow, green, blue, and purple categories. Infants' categorical distinctions aligned with common distinctions in color lexicons and are organized around hues that are commonly central to lexical categories across languages. The boundaries between infants' categorical distinctions also aligned, relative to the adaptation point, with the cardinal axes that describe the early stages of color representation in retinogeniculate pathways, indicating that infant color categorization may be partly organized by biological mechanisms of color vision. The findings suggest that color categorization in language and thought is partially biologically constrained and have implications for broader debate on how biology, culture, and communication interact in human cognition.

  18. Video-lectures: An effective complementary teaching method at business college

    Directory of Open Access Journals (Sweden)

    Jaka Vadnjal

    2017-05-01

    Full Text Available A new teaching methodology was tested at a private college, which delivers business studyprograms on the undergraduate and graduate level. The combination of video-lectures with live classactivities (discussions, case study solving was used in the course which provides studentscompetences for managing growing small and medium-sized business. Full- and part-time studentsparticipated in the two separated classes with identical study program and the same methodologicalapproach was applied to assess the teaching approach. The main objective of the study was toexamine the possible differences between the two groups of studies. In total 126 students participatedin the study and the data collection was done with a survey. Several statistically significantdifferences were revealed. The most important finding is that part-time students were much lessenthusiastic for the delivered teaching approach. It looks like they appreciated more the liveinteraction with other students and with the teacher and probably saw the opportunity of activeparticipation as the main added value of the studies. The implication of the study is that coursedesign, which includes video, should carefully take into account the two types of students addressed.

  19. A method to validate quantitative high-frequency power doppler ultrasound with fluorescence in vivo video microscopy.

    Science.gov (United States)

    Pinter, Stephen Z; Kim, Dae-Ro; Hague, M Nicole; Chambers, Ann F; MacDonald, Ian C; Lacefield, James C

    2014-08-01

    Flow quantification with high-frequency (>20 MHz) power Doppler ultrasound can be performed objectively using the wall-filter selection curve (WFSC) method to select the cutoff velocity that yields a best-estimate color pixel density (CPD). An in vivo video microscopy system (IVVM) is combined with high-frequency power Doppler ultrasound to provide a method for validation of CPD measurements based on WFSCs in mouse testicular vessels. The ultrasound and IVVM systems are instrumented so that the mouse remains on the same imaging platform when switching between the two modalities. In vivo video microscopy provides gold-standard measurements of vascular diameter to validate power Doppler CPD estimates. Measurements in four image planes from three mice exhibit wide variation in the optimal cutoff velocity and indicate that a predetermined cutoff velocity setting can introduce significant errors in studies intended to quantify vascularity. Consistent with previously published flow-phantom data, in vivo WFSCs exhibited three characteristic regions and detectable plateaus. Selection of a cutoff velocity at the right end of the plateau yielded a CPD close to the gold-standard vascular volume fraction estimated using IVVM. An investigator can implement the WFSC method to help adapt cutoff velocity to current blood flow conditions and thereby improve the accuracy of power Doppler for quantitative microvascular imaging. Copyright © 2014 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

  20. Enhancing OSCE preparedness with video exemplars in undergraduate nursing students. A mixed method study.

    Science.gov (United States)

    Massey, D; Byrne, J; Higgins, N; Weeks, B; Shuker, M-A; Coyne, E; Mitchell, M; Johnston, A N B

    2017-07-01

    Objective structured clinical examinations (OSCEs) are designed to assess clinical skill performance and competency of students in preparation for 'real world' clinical responsibilities. OSCEs are commonly used in health professional education and are typically associated with high levels of student anxiety, which may present a significant barrier to performance. Students, including nursing students, have identified that flexible access to exemplar OSCEs might reduce their anxiety and enable them to better prepare for such examinations. To implement and evaluate an innovative approach to preparing students for OSCEs in an undergraduate (registration) acute care nursing course. A set of digitized OSCE exemplars were prepared and embedded in the University-based course website as part of usual course learning activities. Use of the exemplars was monitored, pre and post OSCE surveys were conducted, and qualitative data were collected to evaluate the approach. OSCE grades were also examined. The online OSCE exemplars increased self-rated student confidence, knowledge, and capacity to prepare and provided clarity around assessment expectations. OSCE exemplars were accessed frequently and positively received; but did not impact on performance. Video exemplars aid student preparation for OSCEs, providing a flexible, innovative and clear example of the assessment process. Video exemplars improved self-rated student confidence and understanding of performance expectations, leading to increased engagement and reduced anxiety when preparing for the OSCE, but not overall OSCE performance. Such OSCE exemplars could be used to increase staff capacity and improve the quality of the student learning experience. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

  1. Online video in clinical skills education of oral medication administration for undergraduate student nurses: a mixed methods, prospective cohort study.

    Science.gov (United States)

    Holland, Agi; Smith, Fiona; McCrossan, Gill; Adamson, Elizabeth; Watt, Susan; Penny, Kay

    2013-06-01

    Improvements in the safety of the prescribing, dispensing and administration of medicines are identified as a priority across international healthcare systems. It is therefore essential that higher education institutions play their part in helping to meet this patient safety objective. New developments in clinical skills education which are aligned to emerging educational theory are available, but evaluations and supportive evidence are limited. To evaluate the use of an online best practice exemplar as an adjunct to the clinical skills teaching of oral medication administration to undergraduate student nurses. Mixed-methods prospective cohort design. Two intakes of undergraduate nursing students (n=168, n=154) undertaking a first year clinical skills based module at a British university. The Control group received standard teaching using lectures and skills classes facilitated by experienced clinical skills lecturers. The Intervention group received the standard teaching and unlimited access to an online video clip of medication administration. Performance and satisfaction were measured using module assessment results and a satisfaction questionnaire. Qualitative data were gathered using focus groups (n=16, n=20). The Intervention group was significantly (p=0.021) more likely to pass the assessment and rate their satisfaction with the teaching significantly higher (pskill was enhanced. An online video of a best practice exemplar as an adjunct to taught clinical skills sessions improves student assessment results and satisfaction ratings. The video was also reported to positively influence all themes identified in Classroom Learning and was perceived to promote the Transfer to Practice of teaching input. Copyright © 2012 Elsevier Ltd. All rights reserved.

  2. TRANSIENT ELECTRONICS CATEGORIZATION

    Science.gov (United States)

    2017-08-24

    methods. Chemical reactions often require elevated temperatures and strong acids or alkaline solutions, which must be considered in developing transience...COPY AIR FORCE RESEARCH LABORATORY SENSORS DIRECTORATE WRIGHT-PATTERSON AIR FORCE BASE , OH 45433-7320 AIR FORCE MATERIEL COMMAND UNITED STATES AIR...patented invention that may relate to them. This report was cleared for public release by the USAF 88th Air Base Wing (88 ABW) Public Affairs Office

  3. Humanizing Outgroups Through Multiple Categorization

    Science.gov (United States)

    Prati, Francesca; Crisp, Richard J.; Meleady, Rose; Rubini, Monica

    2016-01-01

    In three studies, we examined the impact of multiple categorization on intergroup dehumanization. Study 1 showed that perceiving members of a rival university along multiple versus simple categorical dimensions enhanced the tendency to attribute human traits to this group. Study 2 showed that multiple versus simple categorization of immigrants increased the attribution of uniquely human emotions to them. This effect was explained by the sequential mediation of increased individuation of the outgroup and reduced outgroup threat. Study 3 replicated this sequential mediation model and introduced a novel way of measuring humanization in which participants generated attributes corresponding to the outgroup in a free response format. Participants generated more uniquely human traits in the multiple versus simple categorization conditions. We discuss the theoretical implications of these findings and consider their role in informing and improving efforts to ameliorate contemporary forms of intergroup discrimination. PMID:26984016

  4. The Psychophysics of Categorical Perception

    Science.gov (United States)

    Macmillan, Neil A.; And Others

    1977-01-01

    Discusses the relation between discrimination and identification performance, particularly with regard to experiments with speech and other signals used to draw a distinction between continuous and categorical perception. Offers three main arguments. (Author/RK)

  5. Video microblogging

    DEFF Research Database (Denmark)

    Bornoe, Nis; Barkhuus, Louise

    2010-01-01

    Microblogging is a recently popular phenomenon and with the increasing trend for video cameras to be built into mobile phones, a new type of microblogging has entered the arena of electronic communication: video microblogging. In this study we examine video microblogging, which is the broadcasting...... of short videos. A series of semi-structured interviews offers an understanding of why and how video microblogging is used and what the users post and broadcast....

  6. Categorization in the Affective Domain

    DEFF Research Database (Denmark)

    Sauciuc, Gabriela-Alina

    2011-01-01

    Data collected in Romance and Scandinavian languages (N=474) in a superordinate category name production task indicate that a multiple-strategy approach would be more suitable for accounting of categorization in the affective domain instead of a prototype approach as suggested by previous studies....... This paper will highlight performance aspects which appear to be consistent with such an interpretation, as well as an important layman- expert knowledge asymmetry in affective categorization....

  7. A Method of Sharing Tacit Knowledge by a Bulletin Board Link to Video Scene and an Evaluation in the Field of Nursing Skill

    Science.gov (United States)

    Shimada, Satoshi; Azuma, Shouzou; Teranaka, Sayaka; Kojima, Akira; Majima, Yukie; Maekawa, Yasuko

    We developed the system that knowledge could be discovered and shared cooperatively in the organization based on the SECI model of knowledge management. This system realized three processes by the following method. (1)A video that expressed skill is segmented into a number of scenes according to its contents. Tacit knowledge is shared in each scene. (2)Tacit knowledge is extracted by bulletin board linked to each scene. (3)Knowledge is acquired by repeatedly viewing the video scene with the comment that shows the technical content to be practiced. We conducted experiments that the system was used by nurses working for general hospitals. Experimental results show that the nursing practical knack is able to be collected by utilizing bulletin board linked to video scene. Results of this study confirmed the possibility of expressing the tacit knowledge of nurses' empirical nursing skills sensitively with a clue of video images.

  8. Qualitative Research Methods in Visual Communication. Case Study: Visual Networks in the Promotional Videos of the European Year of Volunteering

    Directory of Open Access Journals (Sweden)

    Camelia Cmeciu

    2013-05-01

    Full Text Available European Years are a means of promoting European issues at a macro and micro-level. The objective of this paper is to provide the visual differences in the framing of the issue of volunteering at a European and national level. The approach focuses on a blending of two qualitative research methods in visual communication: ATLAS.ti (computer assisted/ aided qualitative data analysis software and social semiotics. The results of our analysis highlight two network views on volunteering promoted through videos, a salience of transactional processes in the implementation of volunteering at a European and national level, and a classification of various types of social practices specific to Romania. This study provides an insight into the way in which two different qualitative methods may be combined in order to provide a visual representation and interpretation to a European issue.

  9. The XH-map algorithm: A method to process stereo video to produce a real-time obstacle map

    Science.gov (United States)

    Rosselot, Donald; Hall, Ernest L.

    2005-10-01

    This paper presents a novel, simple and fast algorithm to produce a "floor plan" obstacle map in real time using video. The XH-map algorithm is a transformation of stereo vision data in disparity map space into a two dimensional obstacle map space using a method that can be likened to a histogram reduction of image information. The classic floor-ground background noise problem is addressed with a simple one-time semi-automatic calibration method incorporated into the algorithm. This implementation of this algorithm utilizes the Intel Performance Primitives library and OpenCV libraries for extremely fast and efficient execution, creating a scaled obstacle map from a 480x640x256 stereo pair in 1.4 milliseconds. This algorithm has many applications in robotics and computer vision including enabling an "Intelligent Robot" robot to "see" for path planning and obstacle avoidance.

  10. Video demystified

    CERN Document Server

    Jack, Keith

    2004-01-01

    This international bestseller and essential reference is the "bible" for digital video engineers and programmers worldwide. This is by far the most informative analog and digital video reference available, includes the hottest new trends and cutting-edge developments in the field. Video Demystified, Fourth Edition is a "one stop" reference guide for the various digital video technologies. The fourth edition is completely updated with all new chapters on MPEG-4, H.264, SDTV/HDTV, ATSC/DVB, and Streaming Video (Video over DSL, Ethernet, etc.), as well as discussions of the latest standards throughout. The accompanying CD-ROM is updated to include a unique set of video test files in the newest formats. *This essential reference is the "bible" for digital video engineers and programmers worldwide *Contains all new chapters on MPEG-4, H.264, SDTV/HDTV, ATSC/DVB, and Streaming Video *Completely revised with all the latest and most up-to-date industry standards.

  11. Prediction accuracy in estimating joint angle trajectories using a video posture coding method for sagittal lifting tasks.

    Science.gov (United States)

    Chang, Chien-Chi; McGorry, Raymond W; Lin, Jia-Hua; Xu, Xu; Hsiang, Simon M

    2010-08-01

    This study investigated prediction accuracy of a video posture coding method for lifting joint trajectory estimation. From three filming angles, the coder selected four key snapshots, identified joint angles and then a prediction program estimated the joint trajectories over the course of a lift. Results revealed a limited range of differences of joint angles (elbow, shoulder, hip, knee, ankle) between the manual coding method and the electromagnetic motion tracking system approach. Lifting range significantly affected estimate accuracy for all joints and camcorder filming angle had a significant effect on all joints but the hip. Joint trajectory predictions were more accurate for knuckle-to-shoulder lifts than for floor-to-shoulder or floor-to-knuckle lifts with average root mean square errors (RMSE) of 8.65 degrees , 11.15 degrees and 11.93 degrees , respectively. Accuracy was also greater for the filming angles orthogonal to the participant's sagittal plane (RMSE = 9.97 degrees ) as compared to filming angles of 45 degrees (RMSE = 11.01 degrees ) or 135 degrees (10.71 degrees ). The effects of lifting speed and loading conditions were minimal. To further increase prediction accuracy, improved prediction algorithms and/or better posture matching methods should be investigated. STATEMENT OF RELEVANCE: Observation and classification of postures are common steps in risk assessment of manual materials handling tasks. The ability to accurately predict lifting patterns through video coding can provide ergonomists with greater resolution in characterising or assessing the lifting tasks than evaluation based solely on sampling with a single lifting posture event.

  12. Acceptable risk of contact allergy in the general population assessed by CE-DUR--a method to detect and categorize contact allergy epidemics based on patient data

    DEFF Research Database (Denmark)

    Thyssen, Jacob Pontoppidan; Menné, Torkil; Schnuch, Axel

    2009-01-01

    population by using a new epidemiological tool. The clinical epidemiology (CE) and drug utilization research (DUR) method recently estimated the 10-year contact allergy prevalence in the general population in Germany and Denmark based on patch test reading data in combination with an estimate of the number...

  13. Feature Screening for Ultrahigh Dimensional Categorical Data with Applications.

    Science.gov (United States)

    Huang, Danyang; Li, Runze; Wang, Hansheng

    2014-01-01

    Ultrahigh dimensional data with both categorical responses and categorical covariates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable statistical tool. We propose a Pearson chi-square based feature screening procedure for categorical response with ultrahigh dimensional categorical covariates. The proposed procedure can be directly applied for detection of important interaction effects. We further show that the proposed procedure possesses screening consistency property in the terminology of Fan and Lv (2008). We investigate the finite sample performance of the proposed procedure by Monte Carlo simulation studies, and illustrate the proposed method by two empirical datasets.

  14. A technique for continuous measurement of body movement from video.

    Science.gov (United States)

    Hilliard, Caitlin; Cook, Susan Wagner

    2017-02-01

    The movements that we make with our body vary continuously along multiple dimensions. However, many of the tools and techniques presently used for coding and analyzing hand gestures and other body movements yield categorical outcome variables. Focusing on categorical variables as the primary quantitative outcomes may mislead researchers or distort conclusions. Moreover, categorical systems may fail to capture the richness present in movement. Variations in body movement may be informative in multiple dimensions. For example, a single hand gesture has a unique size, height of production, trajectory, speed, and handshape. Slight variations in any of these features may alter how both the speaker and the listener are affected by gesture. In this paper, we describe a new method for measuring and visualizing the physical trajectory of movement using video. This method is generally accessible, requiring only video data and freely available computer software. This method allows researchers to examine features of hand gestures, body movement, and other motion, including size, height, curvature, and speed. We offer a detailed account of how to implement this approach, and we also offer some guidelines for situations where this approach may be fruitful in revealing how the body expresses information. Finally, we provide data from a small study on how speakers alter their hand gestures in response to different characteristics of a stimulus to demonstrate the utility of analyzing continuous dimensions of motion. By creating shared methods, we hope to facilitate communication between researchers from varying methodological traditions.

  15. When Video Games Tell Stories: A Model of Video Game Narrative Architectures

    Directory of Open Access Journals (Sweden)

    Marcello Arnaldo Picucci

    2014-11-01

    Full Text Available In the present study a model is proposed offering a comprehensive categorization of video game narrative structures intended as the methods and techniques used by game designers and allowed by the medium to deliver the story content throughout the gameplay in collaboration with the players. A case is first made for the presence of narrative in video games and its growth of importance as a central component in game design. An in-depth analysis ensues focusing on how games tell stories, guided by the criteria of linearity/nonlinearity, interactivity and randomness. Light is shed upon the fundamental architectures through which stories are told as well as the essential boundaries posed by the close link between narrative and game AI.

  16. Image categorization for marketing purposes

    Science.gov (United States)

    Almishari, Mishari I.; Lee, Haengju; Gnanasambandam, Nathan

    2011-03-01

    Images meant for marketing and promotional purposes (i.e. coupons) represent a basic component in incentivizing customers to visit shopping outlets and purchase discounted commodities. They also help department stores in attracting more customers and potentially, speeding up their cash flow. While coupons are available from various sources - print, web, etc. categorizing these monetary instruments is a benefit to the users. We are interested in an automatic categorizer system that aggregates these coupons from different sources (web, digital coupons, paper coupons, etc) and assigns a type to each of these coupons in an efficient manner. While there are several dimensions to this problem, in this paper we study the problem of accurately categorizing/classifying the coupons. We propose and evaluate four different techniques for categorizing the coupons namely, word-based model, n-gram-based model, externally weighing model, weight decaying model which take advantage of known machine learning algorithms. We evaluate these techniques and they achieve high accuracies in the range of 73.1% to 93.2%. We provide various examples of accuracy optimizations that can be performed and show a progressive increase in categorization accuracy for our test dataset.

  17. Effects of the observation method (direct v. from video) and of the presence of an observer on behavioural results in veal calves

    NARCIS (Netherlands)

    Leruste, H.; Bokkers, E.A.M.; Sergent, O.; Wolthuis-Fillerup, M.; Reenen, van C.G.; Lensink, B.J.

    2013-01-01

    This study aimed at assessing the effect of the observation method (direct or from video) and the effect of the presence of an observer on the behavioural results in veal calves kept on a commercial farm. To evaluate the effect of the observation method, 20 pens (four to five calves per pen) were

  18. Accelerating video carving from unallocated space

    Science.gov (United States)

    Kalva, Hari; Parikh, Anish; Srinivasan, Avinash

    2013-03-01

    Video carving has become an essential tool in digital forensics. Video carving enables recovery of deleted video files from hard disks. Processing data to extract videos is a computationally intensive task. In this paper we present two methods to accelerate video carving: a method to accelerate fragment extraction, and a method to accelerate combining of these fragments into video segments. Simulation results show that complexity of video fragment extraction can be reduced by as much as 75% with minimal impact on the videos recovered.

  19. Categorical Properties of Soft Sets

    Directory of Open Access Journals (Sweden)

    Min Zhou

    2014-01-01

    Full Text Available The present study investigates some novel categorical properties of soft sets. By combining categorical theory with soft set theory, a categorical framework of soft set theory is established. It is proved that the category SFun of soft sets and soft functions has equalizers, finite products, pullbacks, and exponential properties. It is worth mentioning that we find that SFun is both a topological construct and Cartesian closed. The category SRel of soft sets and Z-soft set relations is also characterized, which shows the existence of the zero objects, biproducts, additive identities, injective objects, projective objects, injective hulls, and projective covers. Finally, by constructing proper adjoint situations, some intrinsic connections between SFun and SRel are established.

  20. A novel approach for modeling malaria incidence using complex categorical household data: The minimum message length (MML method applied to Indonesian data

    Directory of Open Access Journals (Sweden)

    Gerhard Visser

    2012-09-01

    Full Text Available We investigated the application of a Minimum Message Length (MML modeling approach to identify the simplest model that would explain two target malaria incidence variables: incidence in the short term and on the average longer term, in two areas in Indonesia, based on a range of ecological variables including environmental and socio-economic ones. The approach is suitable for dealing with a variety of problems such as complexity and where there are missing values in the data. It can detect weak relations, is resistant to overfittingand can show the way in which many variables, working together, contribute to explaining malaria incidence. This last point is a major strength of the method as it allows many variables to be analysed. Data were obtained at household level by questionnaire for villages in West Timor and Central Java. Data were collected on 26 variables in nine categories: stratum (a village-level variable based on the API/AMI categories, ecology, occupation, preventative measures taken, health care facilities, the immediate environment, household characteristics, socio-economic status and perception of malaria cause. Several models were used and the simplest (best model, that is the one with the minimum message length was selected for each area. The results showed that consistent predictors of malaria included combinations of ecology (coastal, preventative (clean backyard and environment (mosquito breeding place, garden and rice cultivation. The models also showed that most of the other variables were not good predictors and this is discussed in the paper. We conclude that the method has potential for identifying simple predictors of malaria and that it could be used to focus malaria management on combinations of variables rather than relying on single ones that may not be consistently reliable.

  1. A Study of the Subject Categorization of the MIS-related Journals in the ISI Databases Using Topical Features in the Text Content and Machine Learning Methods

    Directory of Open Access Journals (Sweden)

    Sung-Chien Lin

    2015-07-01

    Full Text Available In this study we analyzed and discussed that the MIS-related journals under the ISI subject category of IS&LS are simultaneously given with subject category Management, using methods of topic modeling, journal clustering and subject category prediction. In the experiment of journal clustering, all journals under subject category Management and other journals also having similar topical features can be gathered into a cluster, and “management” is their common and the most distinct topic. Because the journals belonged to this cluster are almost same to those in the MIS clusters generated by the previous studies, we considered it as the MIS cluster in this study. In the second experiment, we used the classification and regression tree (CART technique to predict assignment of subject category with that the journals in the original subject category Management and in the MIS cluster produced in this study as positive examples, respectively. The trees generated by the two tests both used the occurring probabilities of the topic “management” as the main classification rule. However, in the latter test, we did not only obtain a simpler classification tree but also had a result with less predicting errors. This means that if all journals in the MIS cluster could be given with subject category Management, the retrieval results can be more effective and complete.

  2. How College Students' Conceptions of Newton's Second and Third Laws Change Through Watching Interactive Video Vignettes: A Mixed Methods Study

    Science.gov (United States)

    Engelman, Jonathan

    Changing student conceptions in physics is a difficult process and has been a topic of research for many years. The purpose of this study was to understand what prompted students to change or not change their incorrect conceptions of Newtons Second or Third Laws in response to an intervention, Interactive Video Vignettes (IVVs), designed to overcome them. This study is based on prior research reported in the literature which has found that a curricular framework of elicit, confront, resolve, and reflect (ECRR) is important for changing student conceptions (McDermott, 2001). This framework includes four essential parts such that during an instructional event student conceptions should be elicited, incorrect conceptions confronted, these conflicts resolved, and then students should be prompted to reflect on their learning. Twenty-two undergraduate student participants who completed either or both IVVs were studied to determine whether or not they experienced components of the ECRR framework at multiple points within the IVVs. A fully integrated, mixed methods design was used to address the study purpose. Both quantitative and qualitative data were collected iteratively for each participant. Successive data collections were informed by previous data collections. All data were analyzed concurrently. The quantitative strand included a pre/post test that participants took before and after completing a given IVV and was used to measure the effect of each IVV on learning. The qualitative strand included video of each participant completing the IVV as well as an audio-recorded video elicitation interview after the post-test. The qualitative data collection was designed to describe student experiences with each IVV as well as to observe how the ECRR framework was experienced. Collecting and analyzing data using this mixed methods approach helped develop a more complete understanding of how student conceptions of Newtons Second and Third Laws changed through completion of

  3. Comparison of Imputation Methods for Handling Missing Categorical Data with Univariate Pattern|| Una comparación de métodos de imputación de variables categóricas con patrón univariado

    Directory of Open Access Journals (Sweden)

    Torres Munguía, Juan Armando

    2014-06-01

    Full Text Available This paper examines the sample proportions estimates in the presence of univariate missing categorical data. A database about smoking habits (2011 National Addiction Survey of Mexico was used to create simulated yet realistic datasets at rates 5% and 15% of missingness, each for MCAR, MAR and MNAR mechanisms. Then the performance of six methods for addressing missingness is evaluated: listwise, mode imputation, random imputation, hot-deck, imputation by polytomous regression and random forests. Results showed that the most effective methods for dealing with missing categorical data in most of the scenarios assessed in this paper were hot-deck and polytomous regression approaches. || El presente estudio examina la estimación de proporciones muestrales en la presencia de valores faltantes en una variable categórica. Se utiliza una encuesta de consumo de tabaco (Encuesta Nacional de Adicciones de México 2011 para crear bases de datos simuladas pero reales con 5% y 15% de valores perdidos para cada mecanismo de no respuesta MCAR, MAR y MNAR. Se evalúa el desempeño de seis métodos para tratar la falta de respuesta: listwise, imputación de moda, imputación aleatoria, hot-deck, imputación por regresión politómica y árboles de clasificación. Los resultados de las simulaciones indican que los métodos más efectivos para el tratamiento de la no respuesta en variables categóricas, bajo los escenarios simulados, son hot-deck y la regresión politómica.

  4. Sex differences in semantic categorization.

    Science.gov (United States)

    Pasterski, Vickie; Zwierzynska, Karolina; Estes, Zachary

    2011-12-01

    Sex differences in certain cognitive abilities, including aspects of semantic processing, are well established. However, there have been no reports investigating a sex difference in semantic categorization. A total of 55 men and 58 women each judged 25 exemplars of natural categories (e.g., FRUITS) and 25 of artifact categories (e.g., TOOLS) as a nonmember, partial member, or full member of the given category. Participants also rated confidence for each judgment. Women provided a greater number of vague (partial member) judgments whereas men provided more inclusive (full member) judgments of artifacts but more exclusive (nonmember) judgments of natural categories. The sex difference in vagueness was observed across domains (Cohen's d = .56). Confidence predicted categorization among both men and women, such that more confident participants exhibited fewer vague category judgments. However, men and women were equally confident in their category judgments, and confidence failed to explain the sex difference in categorization. Men and women appear to categorize the same common objects in systematically different ways.

  5. Digital video.

    Science.gov (United States)

    Johnson, Don; Johnson, Mike

    2004-04-01

    The process of digital capture, editing, and archiving video has become an important aspect of documenting arthroscopic surgery. Recording the arthroscopic findings before and after surgery is an essential part of the patient's medical record. The hardware and software has become more reasonable to purchase, but the learning curve to master the software is steep. Digital video is captured at the time of arthroscopy to a hard disk, and written to a CD at the end of the operative procedure. The process of obtaining video of open procedures is more complex. Outside video of the procedure is recorded on digital tape with a digital video camera. The camera must be plugged into a computer to capture the video on the hard disk. Adobe Premiere software is used to edit the video and render the finished video to the hard drive. This finished video is burned onto a CD. We outline the choice of computer hardware and software for the manipulation of digital video. The techniques of backup and archiving the completed projects and files also are outlined. The uses of digital video for education and the formats that can be used in PowerPoint presentations are discussed.

  6. The Differential Impact of Video-Stimulated Recall and Concurrent Questioning Methods on Beginning Readers' Verbalization about Self-Monitoring during Oral Reading

    Science.gov (United States)

    Pratt, Sharon M.; Martin, Anita M.

    2017-01-01

    This pilot study explored two methods of eliciting beginning readers' verbalizations of their thinking when self-monitoring oral reading: video-stimulated recall and concurrent questioning. First and second graders (N = 11) were asked to explain their thinking about repetitions, attempts to self-correct, and successful self-corrects, in order to…

  7. Surveying drainage culvert use by carnivores: sampling design and cost-benefit analyzes of track-pads vs. video-surveillance methods.

    Science.gov (United States)

    Mateus, Ana Rita A; Grilo, Clara; Santos-Reis, Margarida

    2011-10-01

    Environmental assessment studies often evaluate the effectiveness of drainage culverts as habitat linkages for species, however, the efficiency of the sampling designs and the survey methods are not known. Our main goal was to estimate the most cost-effective monitoring method for sampling carnivore culvert using track-pads and video-surveillance. We estimated the most efficient (lower costs and high detection success) interval between visits (days) when using track-pads and also determined the advantages of using each method. In 2006, we selected two highways in southern Portugal and sampled 15 culverts over two 10-day sampling periods (spring and summer). Using the track-pad method, 90% of the animal tracks were detected using a 2-day interval between visits. We recorded a higher number of crossings for most species using video-surveillance (n = 129) when compared with the track-pad technique (n = 102); however, the detection ability using the video-surveillance method varied with type of structure and species. More crossings were detected in circular culverts (1 m and 1.5 m diameter) than in box culverts (2 m to 4 m width), likely because video cameras had a reduced vision coverage area. On the other hand, carnivore species with small feet such as the common genet Genetta genetta were detected less often using the track-pad surveying method. The cost-benefit analyzes shows that the track-pad technique is the most appropriate technique, but video-surveillance allows year-round surveys as well as the behavior response analyzes of species using crossing structures.

  8. Gamifying Video Object Segmentation.

    Science.gov (United States)

    Spampinato, Concetto; Palazzo, Simone; Giordano, Daniela

    2017-10-01

    Video object segmentation can be considered as one of the most challenging computer vision problems. Indeed, so far, no existing solution is able to effectively deal with the peculiarities of real-world videos, especially in cases of articulated motion and object occlusions; limitations that appear more evident when we compare the performance of automated methods with the human one. However, manually segmenting objects in videos is largely impractical as it requires a lot of time and concentration. To address this problem, in this paper we propose an interactive video object segmentation method, which exploits, on one hand, the capability of humans to identify correctly objects in visual scenes, and on the other hand, the collective human brainpower to solve challenging and large-scale tasks. In particular, our method relies on a game with a purpose to collect human inputs on object locations, followed by an accurate segmentation phase achieved by optimizing an energy function encoding spatial and temporal constraints between object regions as well as human-provided location priors. Performance analysis carried out on complex video benchmarks, and exploiting data provided by over 60 users, demonstrated that our method shows a better trade-off between annotation times and segmentation accuracy than interactive video annotation and automated video object segmentation approaches.

  9. Enhanced video display and navigation for networked streaming video and networked video playlists

    Science.gov (United States)

    Deshpande, Sachin

    2006-01-01

    In this paper we present an automatic enhanced video display and navigation capability for networked streaming video and networked video playlists. Our proposed method uses Synchronized Multimedia Integration Language (SMIL) as presentation language and Real Time Streaming Protocol (RTSP) as network remote control protocol to automatically generate a "enhanced video strip" display for easy navigation. We propose and describe two approaches - a smart client approach and a smart server approach. We also describe a prototype system implementation of our proposed approach.

  10. Immersive video

    Science.gov (United States)

    Moezzi, Saied; Katkere, Arun L.; Jain, Ramesh C.

    1996-03-01

    Interactive video and television viewers should have the power to control their viewing position. To make this a reality, we introduce the concept of Immersive Video, which employs computer vision and computer graphics technologies to provide remote users a sense of complete immersion when viewing an event. Immersive Video uses multiple videos of an event, captured from different perspectives, to generate a full 3D digital video of that event. That is accomplished by assimilating important information from each video stream into a comprehensive, dynamic, 3D model of the environment. Using this 3D digital video, interactive viewers can then move around the remote environment and observe the events taking place from any desired perspective. Our Immersive Video System currently provides interactive viewing and `walkthrus' of staged karate demonstrations, basketball games, dance performances, and typical campus scenes. In its full realization, Immersive Video will be a paradigm shift in visual communication which will revolutionize television and video media, and become an integral part of future telepresence and virtual reality systems.

  11. The Origins of Social Categorization.

    Science.gov (United States)

    Liberman, Zoe; Woodward, Amanda L; Kinzler, Katherine D

    2017-07-01

    Forming conceptually-rich social categories helps people to navigate the complex social world by allowing them to reason about the likely thoughts, beliefs, actions, and interactions of others, as guided by group membership. Nevertheless, social categorization often has nefarious consequences. We suggest that the foundation of the human ability to form useful social categories is in place in infancy: social categories guide the inferences infants make about the shared characteristics and social relationships of other people. We also suggest that the ability to form abstract social categories may be separable from the eventual negative downstream consequences of social categorization, including prejudice, discrimination, and stereotyping. Although a tendency to form inductively-rich social categories appears early in ontogeny, prejudice based on each particular category dimension may not be inevitable. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. A fast method for video deblurring based on a combination of gradient methods and denoising algorithms in Matlab and C environments

    Science.gov (United States)

    Mirzadeh, Zeynab; Mehri, Razieh; Rabbani, Hossein

    2010-01-01

    In this paper the degraded video with blur and noise is enhanced by using an algorithm based on an iterative procedure. In this algorithm at first we estimate the clean data and blur function using Newton optimization method and then the estimation procedure is improved using appropriate denoising methods. These noise reduction techniques are based on local statistics of clean data and blur function. For estimated blur function we use LPA-ICI (local polynomial approximation - intersection of confidence intervals) method that use an anisotropic window around each point and obtain the enhanced data employing Wiener filter in this local window. Similarly, to improvement the quality of estimated clean video, at first we transform the data to wavelet transform domain and then improve our estimation using maximum a posterior (MAP) estimator and local Laplace prior. This procedure (initial estimation and improvement of estimation by denoising) is iterated and finally the clean video is obtained. The implementation of this algorithm is slow in MATLAB1 environment and so it is not suitable for online applications. However, MATLAB has the capability of running functions written in C. The files which hold the source for these functions are called MEX-Files. The MEX functions allow system-specific APIs to be called to extend MATLAB's abilities. So, in this paper to speed up our algorithm, the written code in MATLAB is sectioned and the elapsed time for each section is measured and slow sections (that use 60% of complete running time) are selected. Then these slow sections are translated to C++ and linked to MATLAB. In fact, the high loads of information in images and processed data in the "for" loops of relevant code, makes MATLAB an unsuitable candidate for writing such programs. The written code for our video deblurring algorithm in MATLAB contains eight "for" loops. These eighth "for" utilize 60% of the total execution time of the entire program and so the runtime should be

  13. Categorical Algebra and its Applications

    CERN Document Server

    1988-01-01

    Categorical algebra and its applications contain several fundamental papers on general category theory, by the top specialists in the field, and many interesting papers on the applications of category theory in functional analysis, algebraic topology, algebraic geometry, general topology, ring theory, cohomology, differential geometry, group theory, mathematical logic and computer sciences. The volume contains 28 carefully selected and refereed papers, out of 96 talks delivered, and illustrates the usefulness of category theory today as a powerful tool of investigation in many other areas.

  14. Sex differences in semantic categorization

    OpenAIRE

    Pasterski, Vickie; Zwierzynska, Karolina; Estes, Zachary

    2011-01-01

    Sex differences in certain cognitive abilities, including aspects of semantic processing, are well established. However, there have been no reports investigating a sex difference in semantic categorization. A total of 55 men and 58 women each judged 25 exemplars of natural categories (e.g., fruits) and 25 of artifact categories (e.g., tools) as a nonmember, partial member, or full member of the given category. Participants also rated confidence for each judgment. Women provided a greater numb...

  15. Observational Review and Analysis of Concussion: a Method for Conducting a Standardized Video Analysis of Concussion in Rugby League

    National Research Council Canada - National Science Library

    Gardner, Andrew J; Levi, Christopher R; Iverson, Grant L

    2017-01-01

    ... published. The aim of this study is to evaluate whether independent raters reliably agreed on the injury characterization when using a standardized observational instrument to record video footage of National Rugby League (NRL...

  16. Categorization of natural dynamic audiovisual scenes.

    Directory of Open Access Journals (Sweden)

    Olli Rummukainen

    Full Text Available This work analyzed the perceptual attributes of natural dynamic audiovisual scenes. We presented thirty participants with 19 natural scenes in a similarity categorization task, followed by a semi-structured interview. The scenes were reproduced with an immersive audiovisual display. Natural scene perception has been studied mainly with unimodal settings, which have identified motion as one of the most salient attributes related to visual scenes, and sound intensity along with pitch trajectories related to auditory scenes. However, controlled laboratory experiments with natural multimodal stimuli are still scarce. Our results show that humans pay attention to similar perceptual attributes in natural scenes, and a two-dimensional perceptual map of the stimulus scenes and perceptual attributes was obtained in this work. The exploratory results show the amount of movement, perceived noisiness, and eventfulness of the scene to be the most important perceptual attributes in naturalistically reproduced real-world urban environments. We found the scene gist properties openness and expansion to remain as important factors in scenes with no salient auditory or visual events. We propose that the study of scene perception should move forward to understand better the processes behind multimodal scene processing in real-world environments. We publish our stimulus scenes as spherical video recordings and sound field recordings in a publicly available database.

  17. Video evidence that parenting methods predict which infants develop long night-time sleep periods by three months of age.

    Science.gov (United States)

    St James-Roberts, Ian; Roberts, Marion; Hovish, Kimberly; Owen, Charlie

    2017-05-01

    Aim To examine two hypotheses about the longitudinal relationship between night-time parenting behaviours in the first few postnatal weeks and infant night-time sleep-waking at five weeks, three months and six months of age in normal London home environments. Most western infants develop long night-time sleep periods by four months of age. However, around 20-30% of infants in many countries continue to sleep for short periods and cry out on waking in the night: the most common type of infant sleep behaviour problem. Preventive interventions may help families and improve services. There is evidence that 'limit-setting' parenting, which is common in western cultures, supports the development of settled infant night-time behaviour. However, this evidence has been challenged. The present study measures three components of limit-setting parenting (response delay, feeding interval, settling method), examines their stability, and assesses the predictive relationship between each of them and infant sleep-waking behaviours. Longitudinal observations comparing a General-Community (n=101) group and subgroups with a Bed-Sharing (n=19) group on infra-red video, diary and questionnaire measures of parenting behaviours and infant feeding and sleep-waking at night. Findings Bed-Sharing parenting was highly infant-cued and stable. General-Community parenting involved more limit-setting, but was less stable, than Bed-Sharing parenting. One element of General-Community parenting - consistently introducing a short interval before feeding - was associated with the development of longer infant night-time feed intervals and longer day-time feeds at five weeks, compared with other General-Community and Bed-Sharing infants. Twice as many General-Community infants whose parents introduced these short intervals before feeding in the early weeks slept for long night-time periods at three months of age on both video and parent-report measures, compared with other General-Community and Bed

  18. Video games

    OpenAIRE

    Kolář, Vojtěch

    2012-01-01

    This thesis is based on a detailed analysis of various topics related to the question of whether video games can be art. In the first place it analyzes the current academic discussion on this subject and confronts different opinions of both supporters and objectors of the idea, that video games can be a full-fledged art form. The second point of this paper is to analyze the properties, that are inherent to video games, in order to find the reason, why cultural elite considers video games as i...

  19. The influence of landscape variation on landform categorization

    Directory of Open Access Journals (Sweden)

    Maia Williams

    2012-12-01

    Full Text Available This paper compares the landform vocabularies of residents from two regions in Portugal. Participants described both their own and the other, less familiar landscapes in response to video footage of the regions. The results indicate that participants used more detailed vocabularies to describe the known landscape compared to the less familiar study site, with detail triggered by individual place recognition. A relationship between landform lexica content and landscape type was observed in the relative placement of detail within each vocabulary. The observed drivers of categorization were the salient features of the landscape (elevation and land cover and utilitarian motivations (land use, context, and familiarity. The results offer support to the notion of non-universality in geographic object categorization.

  20. Space Perception and Language Categorization

    Directory of Open Access Journals (Sweden)

    Корина Наталья

    2016-12-01

    Full Text Available The study brings a brief view at the problem of cognitive association between the space perception and the categorization reflected in natural language from the linguistic point of view that is very close connected to the linguistic worldview and possesses the ethno-cultural specifics. The analysis is focused on the differences of the vertical and horizontal space models’ cognitive dominants in two relative Slavic languages – Russian and Slovak, and on the possible reasons of its existence. The study is devoted to the prominent Slovak philologist Viktor Krupa.

  1. 3D model-based still image object categorization

    Science.gov (United States)

    Petre, Raluca-Diana; Zaharia, Titus

    2011-09-01

    This paper proposes a novel recognition scheme algorithm for semantic labeling of 2D object present in still images. The principle consists of matching unknown 2D objects with categorized 3D models in order to infer the semantics of the 3D object to the image. We tested our new recognition framework by using the MPEG-7 and Princeton 3D model databases in order to label unknown images randomly selected from the web. Results obtained show promising performances, with recognition rate up to 84%, which opens interesting perspectives in terms of semantic metadata extraction from still images/videos.

  2. Categorization of Indoor Places Using the Kinect Sensor

    Science.gov (United States)

    Mozos, Oscar Martinez; Mizutani, Hitoshi; Kurazume, Ryo; Hasegawa, Tsutomu

    2012-01-01

    The categorization of places in indoor environments is an important capability for service robots working and interacting with humans. In this paper we present a method to categorize different areas in indoor environments using a mobile robot equipped with a Kinect camera. Our approach transforms depth and grey scale images taken at each place into histograms of local binary patterns (LBPs) whose dimensionality is further reduced following a uniform criterion. The histograms are then combined into a single feature vector which is categorized using a supervised method. In this work we compare the performance of support vector machines and random forests as supervised classifiers. Finally, we apply our technique to distinguish five different place categories: corridors, laboratories, offices, kitchens, and study rooms. Experimental results show that we can categorize these places with high accuracy using our approach. PMID:22778665

  3. Endoscopic indocyanine green video angiography in aneurysm surgery: an innovative method for intraoperative assessment of blood flow in vasculature hidden from microscopic view.

    Science.gov (United States)

    Nishiyama, Yoshihisa; Kinouchi, Hiroyuki; Senbokuya, Nobuo; Kato, Tatsuya; Kanemaru, Kazuya; Yoshioka, Hideyuki; Horikoshi, Toru

    2012-08-01

    Recently, intraoperative fluorescence video angiography using indocyanine green (ICG) has been widely used in aneurysm surgery. This is a simple and useful method to confirm complete occlusion of the aneurysm lumen and preservation of blood flow in the arteries around the aneurysm. However, the observation field of ICG video angiography is limited under a microscope, making it difficult to confirm the flow in the arteries behind the parent arteries or aneurysm. The authors developed a new technique of intraoperative endoscopic ICG video angiography to assess the blood flow in perforating arteries hidden by the parent arteries or aneurysm. The endoscope emits excitation light with a wavelength of approximately 800 nm, and video images were obtained through a cut filter. The authors used this ICG fluorescence endoscope in treating 3 patients with unruptured cerebral aneurysms. During clip placement, the endoscope was inserted to confirm aneurysm occlusion. Then, ICG was intravenously administered, and the fluorescence in the vessels was observed via the endoscope as well as under the microscope. The blood flow in the perforating arteries was clearly identified, and no procedural complication occurred. The authors conclude that the technique is very useful and facilitates intraoperative real-time assessment of the patency of perforating arteries behind parent arteries or aneurysms.

  4. Decision Making Under Uncertain Categorization

    Directory of Open Access Journals (Sweden)

    Stephanie Ying-Fen Chen

    2014-09-01

    Full Text Available Two experiments investigated how category information is used in decision making under uncertainty and whether the framing of category information influences how it is used. Subjects were presented with vignettes in which the categorization of a critical item was ambiguous and were asked to choose among a set of actions with the goal of attaining the desired outcome for the main character in the story. The normative decision making strategy was to base the decision on all possible categories; however, research on a related topic, category-based induction, has found that people often only consider a single category when making predictions when categorization is uncertain. These experiments found that subjects tend to consider multiple categories when making decisions, but do so both when it is and is not appropriate, suggesting that use of multiple categories is not driven by an understanding of what categories are and are not relevant to the decision. Similarly, although a framing manipulation increased the rate of multiple-category use, it did so in situations in which multiple-category use was and was not appropriate.

  5. Methodology for categorization of nuclear material in pyroprocessing facility

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Chanki; Choi, Sungyeol [UNIST, Ulsan (Korea, Republic of); Kim, Woo Jin; Kim, Min Su; Jeong, Yon Hong [Korea Institute of Nuclear Nonproliferation and Control, Daejeon (Korea, Republic of)

    2016-10-15

    For the pyroprocessing facility to be commercialized in future, current regulations should be evaluated and developed in advance, based on the new types of nuclear materials in the facility. Physical protection system, especially, requires reasonable and reliable categorization of nuclear materials, to prevent from the theft of nuclear materials. In this paper, therefore, current categorization methods of nuclear material are investigated and applied to the pyroprocessing facility. After inconsistencies and gaps are found among methods, they are compared and discussed based on eight considering points (i.e, degrees of attractiveness, levels of category, discount factor, physical barriers, chemical barriers, isotopic barriers, radiological barriers, and capabilities of adversaries), to roughly suggest a new method for categorization. Current categorization methods of nuclear material, including IAEA's INFCIRC/225, U.S. DOE's method, newly expected U.S. NRC's method, FOM, and Bunn's approach, are different and can bring inconsistencies of physical protection requirements. The gap among methods will be significant if advanced fuel cycles are applied to them for the future. For example, the categorization results of 5 target materials in pyroprocessing facility show clear inconsistencies, while TRU ingot is considered the most attractive material. To resolve inconsistencies, it is necessary to determine new method suitable to pyroproessing facility, by considering the effects of eight points (i.e, degrees of attractiveness, levels of category, discount factor, physical barriers, chemical barriers, isotopic barriers, radiological barriers, and capabilities of adversaries)

  6. 61214++++','DOAJ-ART-EN'); return false;" href="+++++https://jual.nipissingu.ca/wp-content/uploads/sites/25/2014/06/v61214.m4v">61214++++">Jailed - Video

    Directory of Open Access Journals (Sweden)

    Cameron CULBERT

    2012-07-01

    Full Text Available As the public education system in Northern Ontario continues to take a downward spiral, a plethora of secondary school students are being placed in an alternative educational environment. Juxtaposing the two educational settings reveals very similar methods and characteristics of educating our youth as opposed to using a truly alternative approach to education. This video reviews the relationship between public education and alternative education in a remote Northern Ontario setting. It is my belief that the traditional methods of teaching are not appropriate in educating at risk students in alternative schools. Paper and pencil worksheets do not motivate these students to learn and succeed. Alternative education should emphasize experiential learning, a just in time curriculum based on every unique individual and the students true passion for everyday life. Cameron Culbert was born on February 3rd, 1977 in North Bay, Ontario. His teenage years were split between attending public school and his willed curriculum on the ski hill. Culbert spent 10 years (1996-2002 & 2006-2010 competing for Canada as an alpine ski racer. His passion for teaching and coaching began as an athlete and has now transferred into the classroom and the community. As a graduate of Nipissing University (BA, BEd, MEd. Camerons research interests are alternative education, physical education and technology in the classroom. Currently Cameron is an active educator and coach in Northern Ontario.

  7. Effects of the observation method (direct v. from video) and of the presence of an observer on behavioural results in veal calves.

    Science.gov (United States)

    Leruste, H; Bokkers, E A M; Sergent, O; Wolthuis-Fillerup, M; van Reenen, C G; Lensink, B J

    2013-11-01

    This study aimed at assessing the effect of the observation method (direct or from video) and the effect of the presence of an observer on the behavioural results in veal calves kept on a commercial farm. To evaluate the effect of the observation method, 20 pens (four to five calves per pen) were observed by an observer for 60 min (two observation sessions of 30 min) and video-recorded at the same time. To evaluate the effect of the presence of the observer in front of the pen, 24 pens were video-recorded on 4 consecutive days and an observer was present in front of each pen for 60 min (two observation sessions of 30 min) on the third day. Behaviour was recorded using instantaneous scan sampling. For the study of the observer's effect, the analysis was limited to the posture, abnormal oral behaviour and manipulation of substrates. The two observation methods gave similar results for the time spent standing, but different results for all other behaviours. The presence of an observer did not affect the behaviour of calves at day level; however, their behaviour was affected when the observer was actually present in front of the pens. A higher percentage of calves were standing and were manipulating substrate in the presence of the observer, but there was no effect on abnormal oral behaviour. In conclusion, direct observations are a more suitable observation method than observations from video recordings for detailed behaviours in veal calves. The presence of an observer has a short-term effect on certain behaviours of calves that will have to be taken into consideration when monitoring these behaviours.

  8. Video Podcasts

    DEFF Research Database (Denmark)

    Nortvig, Anne Mette; Sørensen, Birgitte Holm

    2016-01-01

    This project’s aim was to support and facilitate master’s students’ preparation and collaboration by making video podcasts of short lectures available on YouTube prior to students’ first face-to-face seminar. The empirical material stems from group interviews, from statistical data created through...... YouTube analytics and from surveys answered by students after the seminar. The project sought to explore how video podcasts support learning and reflection online and how students use and reflect on the integration of online activities in the videos. Findings showed that students engaged actively...

  9. Digital video transcoding for transmission and storage

    CERN Document Server

    Sun, Huifang; Chen, Xuemin

    2004-01-01

    Professionals in the video and multimedia industries need a book that explains industry standards for video coding and how to convert the compressed information between standards. Digital Video Transcoding for Transmission and Storage answers this demand while also supplying the theories and principles of video compression and transcoding technologies. Emphasizing digital video transcoding techniques, this book summarizes its content via examples of practical methods for transcoder implementation. It relates almost all of its featured transcoding technologies to practical applications.This vol

  10. Categorical perception of animal patterns.

    Science.gov (United States)

    Goldstein, Julie; Davidoff, Jules

    2008-05-01

    As part of the more general issue of whether culture can affect perception, the present paper addresses the Whorfian question of whether the language available to describe perceptual experience can influence the experience itself. It investigated the effect of vocabulary on perceptual classification by the study of a remote culture (Himba) which possesses a poor colour vocabulary but a rich vocabulary of animal pattern terms. Thus, the present study examined Categorical Perception (CP) with a type of visual stimulus not previously used to assess the effect of labels on perceptual judgments. For the animal patterns, the Whorfian view predicted that it would only be the Himba who showed superiority for cross-category decisions as only they have the appropriate labels. The Whorfian view was upheld and confirmed previous findings that linked perceptual differences to labelling differences.

  11. Exploring the Use of Video-Conferencing Technology in the Assessment of Spoken Language: A Mixed-Methods Study

    Science.gov (United States)

    Nakatsuhara, Fumiyo; Inoue, Chihiro; Berry, Vivien; Galaczi, Evelina

    2017-01-01

    This research explores how Internet-based video-conferencing technology can be used to deliver and conduct a speaking test, and what similarities and differences can be discerned between the standard and computer-mediated face-to-face modes. The context of the study is a high-stakes speaking test, and the motivation for the research is the need…

  12. Study on the Detection of Moving Target in the Mining Method Based on Hybrid Algorithm for Sports Video Analysis

    Directory of Open Access Journals (Sweden)

    Huang Tian

    2014-10-01

    Full Text Available Moving object detection and tracking is the computer vision and image processing is a hot research direction, based on the analysis of the moving target detection and tracking algorithm in common use, focus on the sports video target tracking non rigid body. In sports video, non rigid athletes often have physical deformation in the process of movement, and may be associated with the occurrence of moving target under cover. Media data is surging to fast search and query causes more difficulties in data. However, the majority of users want to be able to quickly from the multimedia data to extract the interested content and implicit knowledge (concepts, rules, rules, models and correlation, retrieval and query quickly to take advantage of them, but also can provide the decision support problem solving hierarchy. Based on the motion in sport video object as the object of study, conducts the system research from the theoretical level and technical framework and so on, from the layer by layer mining between low level motion features to high-level semantic motion video, not only provides support for users to find information quickly, but also can provide decision support for the user to solve the problem.

  13. Video Pulses: User-Based Modeling of Interesting Video Segments

    Directory of Open Access Journals (Sweden)

    Markos Avlonitis

    2014-01-01

    Full Text Available We present a user-based method that detects regions of interest within a video in order to provide video skims and video summaries. Previous research in video retrieval has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the low-level features of a video. We are proposing a pulse modeling method, which makes sense of a web video by analyzing users' Replay interactions with the video player. In particular, we have modeled the user information seeking behavior as a time series and the semantic regions as a discrete pulse of fixed width. Then, we have calculated the correlation coefficient between the dynamically detected pulses at the local maximums of the user activity signal and the pulse of reference. We have found that users' Replay activity significantly matches the important segments in information-rich and visually complex videos, such as lecture, how-to, and documentary. The proposed signal processing of user activity is complementary to previous work in content-based video retrieval and provides an additional user-based dimension for modeling the semantics of a social video on the web.

  14. Relative Contribution of Perception/Cognition and Language on Spatial Categorization

    Science.gov (United States)

    Choi, Soonja; Hattrup, Kate

    2012-01-01

    This study investigated the relative contribution of perception/cognition and language-specific semantics in nonverbal categorization of spatial relations. English and Korean speakers completed a video-based similarity judgment task involving containment, support, tight fit, and loose fit. Both perception/cognition and language served as resources…

  15. Boundary error analysis and categorization in the TRECVID news story segmentation task

    NARCIS (Netherlands)

    Arlandis, J.; Over, P.; Kraaij, W.

    2005-01-01

    In this paper, an error analysis based on boundary error popularity (frequency) including semantic boundary categorization is applied in the context of the news story segmentation task from TRECVTD1. Clusters of systems were defined based on the input resources they used including video, audio and

  16. Semantic Categorization of Placement Verbs in L1 and L2 Danish and Spanish

    Science.gov (United States)

    Cadierno, Teresa; Ibarretxe-Antuñano, Iraide; Hijazo-Gascón, Alberto

    2016-01-01

    This study investigates semantic categorization of the meaning of placement verbs by Danish and Spanish native speakers and two groups of intermediate second language (L2) learners (Danish learners of L2 Spanish and Spanish learners of L2 Danish). Participants described 31 video clips picturing different types of placement events. Cluster analyses…

  17. Detecting and categorizing fleeting emotions in faces.

    Science.gov (United States)

    Sweeny, Timothy D; Suzuki, Satoru; Grabowecky, Marcia; Paller, Ken A

    2013-02-01

    Expressions of emotion are often brief, providing only fleeting images from which to base important social judgments. We sought to characterize the sensitivity and mechanisms of emotion detection and expression categorization when exposure to faces is very brief, and to determine whether these processes dissociate. Observers viewed 2 backward-masked facial expressions in quick succession, 1 neutral and the other emotional (happy, fearful, or angry), in a 2-interval forced-choice task. On each trial, observers attempted to detect the emotional expression (emotion detection) and to classify the expression (expression categorization). Above-chance emotion detection was possible with extremely brief exposures of 10 ms and was most accurate for happy expressions. We compared categorization among expressions using a d' analysis, and found that categorization was usually above chance for angry versus happy and fearful versus happy, but consistently poor for fearful versus angry expressions. Fearful versus angry categorization was poor even when only negative emotions (fearful, angry, or disgusted) were used, suggesting that this categorization is poor independent of decision context. Inverting faces impaired angry versus happy categorization, but not emotion detection, suggesting that information from facial features is used differently for emotion detection and expression categorizations. Emotion detection often occurred without expression categorization, and expression categorization sometimes occurred without emotion detection. These results are consistent with the notion that emotion detection and expression categorization involve separate mechanisms. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  18. Robust video object cosegmentation.

    Science.gov (United States)

    Wang, Wenguan; Shen, Jianbing; Li, Xuelong; Porikli, Fatih

    2015-10-01

    With ever-increasing volumes of video data, automatic extraction of salient object regions became even more significant for visual analytic solutions. This surge has also opened up opportunities for taking advantage of collective cues encapsulated in multiple videos in a cooperative manner. However, it also brings up major challenges, such as handling of drastic appearance, motion pattern, and pose variations, of foreground objects as well as indiscriminate backgrounds. Here, we present a cosegmentation framework to discover and segment out common object regions across multiple frames and multiple videos in a joint fashion. We incorporate three types of cues, i.e., intraframe saliency, interframe consistency, and across-video similarity into an energy optimization framework that does not make restrictive assumptions on foreground appearance and motion model, and does not require objects to be visible in all frames. We also introduce a spatio-temporal scale-invariant feature transform (SIFT) flow descriptor to integrate across-video correspondence from the conventional SIFT-flow into interframe motion flow from optical flow. This novel spatio-temporal SIFT flow generates reliable estimations of common foregrounds over the entire video data set. Experimental results show that our method outperforms the state-of-the-art on a new extensive data set (ViCoSeg).

  19. A new method to calculate the camera focusing area and player position on playfield in soccer video

    Science.gov (United States)

    Liu, Yang; Huang, Qingming; Ye, Qixiang; Gao, Wen

    2005-07-01

    Sports video enrichment is attracting many researchers. People want to appreciate some highlight segments with cartoon. In order to automatically generate these cartoon video, we have to estimate the players" and ball"s 3D position. In this paper, we propose an algorithm to cope with the former problem, i.e. to compute players" position on court. For the image with sufficient corresponding points, the algorithm uses these points to calibrate the map relationship between image and playfield plane (called as homography). For the images without enough corresponding points, we use global motion estimation (GME) and the already calibrated image to compute the images" homographies. Thus, the problem boils down to estimating global motion. To enhance the performance of global motion estimation, two strategies are exploited. The first one is removing the moving objects based on adaptive GMM playfield detection, which can eliminate the influence of non-still object; The second one is using LKT tracking feature points to determine horizontal and vertical translation, which makes the optimization process for GME avoid being trapped into local minimum. Thus, if some images of a sequence can be calibrated directly from the intersection points of court line, all images of the sequence can by calibrated through GME. When we know the homographies between image and playfield, we can compute the camera focusing area and players" position in real world. We have tested our algorithm on real video and the result is encouraging.

  20. Video Tracking dalam Digital Compositing untuk Paska Produksi Video

    Directory of Open Access Journals (Sweden)

    Ardiyan Ardiyan

    2012-04-01

    Full Text Available Video Tracking is one of the processes in video postproduction and motion picture digitally. The ability of video tracking method in the production is helpful to realize the concept of the visual. It is considered in the process of visual effects making. This paper presents how the tracking process and its benefits in visual needs, especially for video and motion picture production. Some of the things involved in the process of tracking such as failure to do so are made clear in this discussion. 

  1. A low false negative filter for detecting rare bird species from short video segments using a probable observation data set-based EKF method.

    Science.gov (United States)

    Song, Dezhen; Xu, Yiliang

    2010-09-01

    We report a new filter to assist the search for rare bird species. Since a rare bird only appears in front of a camera with very low occurrence (e.g., less than ten times per year) for very short duration (e.g., less than a fraction of a second), our algorithm must have a very low false negative rate. We verify the bird body axis information with the known bird flying dynamics from the short video segment. Since a regular extended Kalman filter (EKF) cannot converge due to high measurement error and limited data, we develop a novel probable observation data set (PODS)-based EKF method. The new PODS-EKF searches the measurement error range for all probable observation data that ensures the convergence of the corresponding EKF in short time frame. The algorithm has been extensively tested using both simulated inputs and real video data of four representative bird species. In the physical experiments, our algorithm has been tested on rock pigeons and red-tailed hawks with 119 motion sequences. The area under the ROC curve is 95.0%. During the one-year search of ivory-billed woodpeckers, the system reduces the raw video data of 29.41 TB to only 146.7 MB (reduction rate 99.9995%).

  2. Know your data: understanding implicit usage versus explicit action in video content classification

    Science.gov (United States)

    Yew, Jude; Shamma, David A.

    2011-02-01

    In this paper, we present a method for video category classification using only social metadata from websites like YouTube. In place of content analysis, we utilize communicative and social contexts surrounding videos as a means to determine a categorical genre, e.g. Comedy, Music. We hypothesize that video clips belonging to different genre categories would have distinct signatures and patterns that are reflected in their collected metadata. In particular, we define and describe social metadata as usage or action to aid in classification. We trained a Naive Bayes classifier to predict categories from a sample of 1,740 YouTube videos representing the top five genre categories. Using just a small number of the available metadata features, we compare the classifications produced by our Naive Bayes classifier with those provided by the uploader of that particular video. Compared to random predictions with the YouTube data (21% accurate), our classifier attained a mediocre 33% accuracy in predicting video genres. However, we found that the accuracy of our classifier significantly improves by nominal factoring of the explicit data features. By factoring the ratings of the videos in the dataset, the classifier was able to accurately predict the genres of 75% of the videos. We argue that the patterns of social activity found in the metadata are not just meaningful in their own right, but are indicative of the meaning of the shared video content. The results presented by this project represents a first step in investigating the potential meaning and significance of social metadata and its relation to the media experience.

  3. Akademisk video

    DEFF Research Database (Denmark)

    Frølunde, Lisbeth

    2017-01-01

    Dette kapitel har fokus på metodiske problemstillinger, der opstår i forhold til at bruge (digital) video i forbindelse med forskningskommunikation, ikke mindst online. Video har længe været benyttet i forskningen til dataindsamling og forskningskommunikation. Med digitaliseringen og internettet er...... der dog opstået nye muligheder og udfordringer i forhold til at formidle og distribuere forskningsresultater til forskellige målgrupper via video. Samtidig er klassiske metodologiske problematikker som forskerens positionering i forhold til det undersøgte stadig aktuelle. Både klassiske og nye...... problemstillinger diskuteres i kapitlet, som rammesætter diskussionen ud fra forskellige positioneringsmuligheder: formidler, historiefortæller, eller dialogist. Disse positioner relaterer sig til genrer inden for ’akademisk video’. Afslutningsvis præsenteres en metodisk værktøjskasse med redskaber til planlægning...

  4. ABOUT SOUNDS IN VIDEO GAMES

    Directory of Open Access Journals (Sweden)

    Denikin Anton A.

    2012-12-01

    Full Text Available The article considers the aesthetical and practical possibilities for sounds (sound design in video games and interactive applications. Outlines the key features of the game sound, such as simulation, representativeness, interactivity, immersion, randomization, and audio-visuality. The author defines the basic terminology in study of game audio, as well as identifies significant aesthetic differences between film sounds and sounds in video game projects. It is an attempt to determine the techniques of art analysis for the approaches in study of video games including aesthetics of their sounds. The article offers a range of research methods, considering the video game scoring as a contemporary creative practice.

  5. Video Analytics

    DEFF Research Database (Denmark)

    This book collects the papers presented at two workshops during the 23rd International Conference on Pattern Recognition (ICPR): the Third Workshop on Video Analytics for Audience Measurement (VAAM) and the Second International Workshop on Face and Facial Expression Recognition (FFER) from Real...... World Videos. The workshops were run on December 4, 2016, in Cancun in Mexico. The two workshops together received 13 papers. Each paper was then reviewed by at least two expert reviewers in the field. In all, 11 papers were accepted to be presented at the workshops. The topics covered in the papers...

  6. Deep video deblurring

    KAUST Repository

    Su, Shuochen

    2016-11-25

    Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant information that exists across neighboring frames. As a result the best performing methods rely on aligning nearby frames. However, aligning images is a computationally expensive and fragile procedure, and methods that aggregate information must therefore be able to identify which regions have been accurately aligned and which have not, a task which requires high level scene understanding. In this work, we introduce a deep learning solution to video deblurring, where a CNN is trained end-to-end to learn how to accumulate information across frames. To train this network, we collected a dataset of real videos recorded with a high framerate camera, which we use to generate synthetic motion blur for supervision. We show that the features learned from this dataset extend to deblurring motion blur that arises due to camera shake in a wide range of videos, and compare the quality of results to a number of other baselines.

  7. Twofold Video Hashing with Automatic Synchronization

    OpenAIRE

    Li, Mu; Monga, Vishal

    2014-01-01

    Video hashing finds a wide array of applications in content authentication, robust retrieval and anti-piracy search. While much of the existing research has focused on extracting robust and secure content descriptors, a significant open challenge still remains: Most existing video hashing methods are fallible to temporal desynchronization. That is, when the query video results by deleting or inserting some frames from the reference video, most existing methods assume the positions of the dele...

  8. Diversity-Aware Multi-Video Summarization

    Science.gov (United States)

    Panda, Rameswar; Mithun, Niluthpol Chowdhury; Roy-Chowdhury, Amit K.

    2017-10-01

    Most video summarization approaches have focused on extracting a summary from a single video; we propose an unsupervised framework for summarizing a collection of videos. We observe that each video in the collection may contain some information that other videos do not have, and thus exploring the underlying complementarity could be beneficial in creating a diverse informative summary. We develop a novel diversity-aware sparse optimization method for multi-video summarization by exploring the complementarity within the videos. Our approach extracts a multi-video summary which is both interesting and representative in describing the whole video collection. To efficiently solve our optimization problem, we develop an alternating minimization algorithm that minimizes the overall objective function with respect to one video at a time while fixing the other videos. Moreover, we introduce a new benchmark dataset, Tour20, that contains 140 videos with multiple human created summaries, which were acquired in a controlled experiment. Finally, by extensive experiments on the new Tour20 dataset and several other multi-view datasets, we show that the proposed approach clearly outperforms the state-of-the-art methods on the two problems-topic-oriented video summarization and multi-view video summarization in a camera network.

  9. A Regional Categorization for "New-Type Urbanization" in China.

    Directory of Open Access Journals (Sweden)

    Chuanglin Fang

    Full Text Available Regional differences in the character of urbanization in China are substantial. The promotion of what has been termed "new-type urbanization" cannot, as a result of these regional differences, be expected to follow a universal approach--rather, such a development must objectively adhere to locational and category-specific principles and adopt differentiated urbanization development models. Regional categorization is often used in geography, but is rarely deployed in research addressing human and social problems relating to urbanization. In March 2014, China published the National New-type Urbanization Plan (2014-2020, which calls for the scientific and reasonable planning of "new-type urbanization," and appropriate regional categorizations are urgently needed in order to guide this reform. Responding to this challenge, this research engaged in the design of a "dominantly quantitative analysis, qualitatively supplemented" method in order to divide China into 5 main regions and 47 sub-regions in terms of new-type urbanization. The paper discusses the features and key problems of each region. This study introduces a new method for regional categorization, thereby remedying the lack of regional categorization in relation to "new-type urbanization" in China, and ultimately promoting the development of regional categorization in the humanities as a valuable reference for healthy and sustainable Chinese urbanization.

  10. Video Stabilization Using Feature Point Matching

    Science.gov (United States)

    Kulkarni, Shamsundar; Bormane, D. S.; Nalbalwar, S. L.

    2017-01-01

    Video capturing by non-professionals will lead to unanticipated effects. Such as image distortion, image blurring etc. Hence, many researchers study such drawbacks to enhance the quality of videos. In this paper an algorithm is proposed to stabilize jittery videos. A stable output video will be attained without the effect of jitter which is caused due to shaking of handheld camera during video recording. Firstly, salient points from each frame from the input video is identified and processed followed by optimizing and stabilize the video. Optimization includes the quality of the video stabilization. This method has shown good result in terms of stabilization and it discarded distortion from the output videos recorded in different circumstances.

  11. Rationale and methods for a randomized controlled trial of a movement-to-music video program for decreasing sedentary time among mother-child pairs.

    Science.gov (United States)

    Tuominen, Pipsa P A; Husu, Pauliina; Raitanen, Jani; Luoto, Riitta M

    2015-10-05

    Sciences. The study will yield information on the effectiveness of movement-to-music video exercise in reducing sedentary behavior. Intervention-based methods have proven effective in increasing physical activity in home environments. Music may improve exercise adherence, which creates a possibility of achieving long-term health benefits. The study is registered at ClinicalTrials.gov, as NCT02270138. It was registered on October 2, 2014.

  12. Video Analytics

    DEFF Research Database (Denmark)

    This book collects the papers presented at two workshops during the 23rd International Conference on Pattern Recognition (ICPR): the Third Workshop on Video Analytics for Audience Measurement (VAAM) and the Second International Workshop on Face and Facial Expression Recognition (FFER) from Real W...

  13. Transsphenoidal surgery using a high definition video telescope for pituitary adenomas in dogs with pituitary dependent hypercortisolism: methods and results.

    Science.gov (United States)

    Mamelak, Adam N; Owen, Tina Jo; Bruyette, David

    2014-05-01

    To (1) establish a technique for transsphenoidal removal of pituitary adenomas in dogs with pituitary dependent hypercortisolism (PDH) using a high definition video telescope, and (2) report initial outcomes. Prospective case series. Dogs with pituitary dependent hypercortisolism (PDH; n = 26) with suprasellar masses. Pituitary tumors were removed using a modification of a transoral transsphenoidal approach. Surgery was observed using a high definition video telescope (VITOM™) and localization of the sella was performed by drilling pilot holes in the basisphenoid bone followed by computed tomography (CT). Dogs had PDH confirmed by urinary cortisol to creatinine ratio (UCCR) and endogenous ACTH assays, and tumors confirmed by MRI. There were no postoperative cerebrospinal fluid leaks, wound dehiscence, or surgical site infections. Overall postoperative mortality was 19% with no mortality observed in the last 16 dogs, indicating an initial "learning curve" followed by good surgical results. All dogs that survived the immediate postoperative period (1 week) returned to their owners in good health, on hormonal replacement therapy. Follow-up ranged from 3 to 36 months. Sustained tumor control and hormonal remission based on normalized ACTH and UCCR measurements were observed in 20/21 (95%) dogs at 1-year follow-up. Modifications of a trans-oral transsphenoidal technique for surgical removal of pituitary tumors provides a safe and effective strategy for long-term remission of PDH with acceptable morbidity and mortality. © Copyright 2014 by The American College of Veterinary Surgeons.

  14. Categorizing communication errors in integrated hospital information systems.

    Science.gov (United States)

    Saboor, Samrend; Ammenwerth, Elske

    2009-01-01

    Hospital information systems (HIS) are the hospital's nervous system. The HIS are mostly grown over several years, dedicated to specific needs and comprise individual workarounds. Changes to such complex systems may cause a variety of differ-ent negative side-effects. In order to understand the nature of incorrect communication in integrated HIS, a concise structured categorization of common communication problems and their reasons is essential. The objective of this paper is to present such a categorization, its development and verification. We used a combined approach for the development of the error categorization: We started with a qualitative content analysis on available literature in PubMed. In order to ensure the validity and completeness of the results, we chose the method of problem-centered expert interviews. The resulting categorization of communication problems is represented as a five-level hierarchy. It comprises 81 problems that are related to the electronic communication. Further, it contains in total 229 entries that are either the reasons of these problems or recommendation for avoiding the problems. To our knowledge there is no similar summary that concisely summarizes common communication problems and also refers to their underlying reasons. Equivalent content is mostly published in experience reports that just concentrate on single aspects. We used the details of such references in order to compile our categorization - it thus can be regarded as an intersection of relevant experiences. The categorization can raise a basic awareness on potential problems and supports the understanding of the underlying reasons. An evaluation in a real environment must prove whether the content of the categorization is correct.

  15. An Intelligent System For Arabic Text Categorization

    NARCIS (Netherlands)

    Syiam, M.M.; Tolba, Mohamed F.; Fayed, Z.T.; Abdel-Wahab, Mohamed S.; Ghoniemy, Said A.; Habib, Mena Badieh

    Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and

  16. A Probabilistic Model of Cross-Categorization

    Science.gov (United States)

    Shafto, Patrick; Kemp, Charles; Mansinghka, Vikash; Tenenbaum, Joshua B.

    2011-01-01

    Most natural domains can be represented in multiple ways: we can categorize foods in terms of their nutritional content or social role, animals in terms of their taxonomic groupings or their ecological niches, and musical instruments in terms of their taxonomic categories or social uses. Previous approaches to modeling human categorization have…

  17. Kant's categorical imperative: a foundation for democratic ...

    African Journals Online (AJOL)

    This moral law is located in the „Categorical Imperative. a cardinal moral theory in Immanuel Kant.s ethical philosophy presented in his work Grounding for the Metaphysics of Morals (1785). Understood as an ideal moral principle rooted in selflessness, the categorical imperative is therefore recommended as a foundation ...

  18. User aware video streaming

    Science.gov (United States)

    Kerofsky, Louis; Jagannath, Abhijith; Reznik, Yuriy

    2015-03-01

    We describe the design of a video streaming system using adaptation to viewing conditions to reduce the bitrate needed for delivery of video content. A visual model is used to determine sufficient resolution needed under various viewing conditions. Sensors on a mobile device estimate properties of the viewing conditions, particularly the distance to the viewer. We leverage the framework of existing adaptive bitrate streaming systems such as HLS, Smooth Streaming or MPEG-DASH. The client rate selection logic is modified to include a sufficient resolution computed using the visual model and the estimated viewing conditions. Our experiments demonstrate significant bitrate savings compare to conventional streaming methods which do not exploit viewing conditions.

  19. Internet video search

    NARCIS (Netherlands)

    Snoek, C.G.M.; Smeulders, A.W.M.

    2011-01-01

    In this tutorial, we focus on the challenges in internet video search, present methods how to achieve state-of-the-art performance while maintaining efficient execution, and indicate how to obtain improvements in the near future. Moreover, we give an overview of the latest developments and future

  20. Basic Level of Categorization in Macaca fascicularis

    Directory of Open Access Journals (Sweden)

    KANTHI ARUM WIDAYATI

    2011-12-01

    Full Text Available Human brain posseses the ability to create a concept to assist the process of grouping individual object or events into different classes or categories. We call this grouping process as categorization. In addition to humans, the ability to categorize has also been proposed for animals. Being able to identify, visually or otherwise, a new object as a member of a category is an advantage for animals. Present experiment aims to test the categorization ability in discriminating species by Macaca fascicularis. Using match-to-sample task with photographs of monkeys and human as stimuli, we tested whether monkeys able to categorize monkey individuals as a class against human individuals as another class. We found that monkeys categorized humans differently from monkeys. The monkeys used physical characteristic such as shape and colors from the photographs to create different concepts of human and monkeys.

  1. Text Categorization with Latent Dirichlet Allocation

    Directory of Open Access Journals (Sweden)

    ZLACKÝ Daniel

    2014-05-01

    Full Text Available This paper focuses on the text categorization of Slovak text corpora using latent Dirichlet allocation. Our goal is to build text subcorpora that contain similar text documents. We want to use these better organized text subcorpora to build more robust language models that can be used in the area of speech recognition systems. Our previous research in the area of text categorization showed that we can achieve better results with categorized text corpora. In this paper we used latent Dirichlet allocation for text categorization. We divided initial text corpus into 2, 5, 10, 20 or 100 subcorpora with various iterations and save steps. Language models were built on these subcorpora and adapted with linear interpolation to judicial domain. The experiment results showed that text categorization using latent Dirichlet allocation can improve the system for automatic speech recognition by creating the language models from organized text corpora.

  2. A Big Video Manifesto

    DEFF Research Database (Denmark)

    Mcilvenny, Paul Bruce; Davidsen, Jacob

    2017-01-01

    For the last few years, we have witnessed a hype about the potential results and insights that quantitative big data can bring to the social sciences. The wonder of big data has moved into education, traffic planning, and disease control with a promise of making things better with big numbers...... and beautiful visualisations. However, we also need to ask what the tools of big data can do both for the Humanities and for more interpretative approaches and methods. Thus, we prefer to explore how the power of computation, new sensor technologies and massive storage can also help with video-based qualitative...... inquiry, such as video ethnography, ethnovideo, performance documentation, anthropology and multimodal interaction analysis. That is why we put forward, half-jokingly at first, a Big Video manifesto to spur innovation in the Digital Humanities....

  3. Online video examination

    DEFF Research Database (Denmark)

    Qvist, Palle

    courses are accredited to the master programme. The programme is online, worldwide and on demand. It recruits students from all over the world. The programme is organized exemplary in accordance the principles in the problem-based and project-based learning method used at Aalborg University where students......The Master programme in Problem-Based Learning in Engineering and Science, MPBL (www.mpbl.aau.dk), at Aalborg University, is an international programme offering formalized staff development. The programme is also offered in smaller parts as single subject courses (SSC). Passed single subject...... have large influence on their own teaching, learning and curriculum. The programme offers streamed videos in combination with other learning resources. It is a concept which offers video as pure presentation - video lectures - but also as an instructional tool which gives the students the possibility...

  4. SnapVideo: Personalized Video Generation for a Sightseeing Trip.

    Science.gov (United States)

    Zhang, Luming; Jing, Peiguang; Su, Yuting; Zhang, Chao; Shaoz, Ling

    2017-11-01

    Leisure tourism is an indispensable activity in urban people's life. Due to the popularity of intelligent mobile devices, a large number of photos and videos are recorded during a trip. Therefore, the ability to vividly and interestingly display these media data is a useful technique. In this paper, we propose SnapVideo, a new method that intelligently converts a personal album describing of a trip into a comprehensive, aesthetically pleasing, and coherent video clip. The proposed framework contains three main components. The scenic spot identification model first personalizes the video clips based on multiple prespecified audience classes. We then search for some auxiliary related videos from YouTube 1 according to the selected photos. To comprehensively describe a scenery, the view generation module clusters the crawled video frames into a number of views. Finally, a probabilistic model is developed to fit the frames from multiple views into an aesthetically pleasing and coherent video clip, which optimally captures the semantics of a sightseeing trip. Extensive user studies demonstrated the competitiveness of our method from an aesthetic point of view. Moreover, quantitative analysis reflects that semantically important spots are well preserved in the final video clip. 1 https://www.youtube.com/.

  5. Development of Cloud Based Casting Defects Categorization System (CDCS

    Directory of Open Access Journals (Sweden)

    Sata Amit V.

    2017-03-01

    Full Text Available Defects affect the properties and behavior of the casting during its service life. Since the defects can occur due to different reasons, they must be correctly identified and categorized, to enable applying the appropriate remedial measures. several different approaches for categorizing casting defects have been proposed in technical literature. They mainly rely on physical description, location, and formation of defects. There is a need for a systematic approach for classifying investment casting defects, considering appropriate attributes such as their size, location, identification stage, inspection method, consistency, appearance of defects. A systematic approach for categorization of investment casting defects considering multiple attributes: detection stage, size, shape, appearance, location, consistency and severity of occurrence. Information about the relevant attributes of major defects encountered in investment casting process has been collected from an industrial foundry. This has been implemented in a cloud-based system to make the system freely and widely accessible.

  6. Multi-Label Object Categorization Using Histograms of Global Relations

    DEFF Research Database (Denmark)

    Mustafa, Wail; Xiong, Hanchen; Kraft, Dirk

    2015-01-01

    In this paper, we present an object categorization system capable of assigning multiple and related categories for novel objects using multi-label learning. In this system, objects are described using global geometric relations of 3D features. We propose using the Joint SVM method for learning...

  7. E-mail categorization using partially related training examples

    NARCIS (Netherlands)

    Sappelli, M.; Verberne, S.; Kraaij, W.

    2014-01-01

    Automatic e-mail categorization with traditional classification methods requires labelling of training data. In a real-life setting, this labelling disturbs the working flow of the user. We argue that it might be helpful to use documents, which are generally well-structured in directories on the

  8. Dyslexia Limits the Ability to Categorize Talker Dialect

    Science.gov (United States)

    Long, Gayle Beam; Fox, Robert Allen; Jacewicz, Ewa

    2016-01-01

    Purpose: The purpose of this study was to determine whether the underlying phonological impairment in dyslexia is associated with a deficit in categorizing regional dialects. Method: Twenty adults with dyslexia, 20 school-age children with dyslexia, and 40 corresponding control listeners with average reading ability listened to sentences produced…

  9. Categorizing Children: Automated Text Classification of CHILDES files

    NARCIS (Netherlands)

    Opsomer, Rob; Knoth, Peter; Wiering, Marco; van Polen, Freek; Trapman, Jantine

    2008-01-01

    In this paper we present the application of machine learning text classification methods to two tasks: categorization of children’s speech in the CHILDES Database according to gender and age. Both tasks are binary. For age, we distinguish two age groups between the age of 1.9 and 3.0 years old. The

  10. No Spare Parts: Sharing Part Detectors for Image Categorization

    NARCIS (Netherlands)

    Mettes, P.; van Gemert, J.C.; Snoek, C.G.M.

    2016-01-01

    This work aims for image categorization by learning a representation of discriminative parts. Different from most existing part-based methods, we argue that parts are naturally shared between image categories and should be modeled as such. We motivate our approach with a quantitative and qualitative

  11. Video Analytics

    DEFF Research Database (Denmark)

    This book collects the papers presented at two workshops during the 23rd International Conference on Pattern Recognition (ICPR): the Third Workshop on Video Analytics for Audience Measurement (VAAM) and the Second International Workshop on Face and Facial Expression Recognition (FFER) from Real...... include: re-identification, consumer behavior analysis, utilizing pupillary response for task difficulty measurement, logo detection, saliency prediction, classification of facial expressions, face recognition, face verification, age estimation, super-resolution, pose estimation, and pain recognition...

  12. Video Analytics

    DEFF Research Database (Denmark)

    include: re-identification, consumer behavior analysis, utilizing pupillary response for task difficulty measurement, logo detection, saliency prediction, classification of facial expressions, face recognition, face verification, age estimation, super-resolution, pose estimation, and pain recognition......This book collects the papers presented at two workshops during the 23rd International Conference on Pattern Recognition (ICPR): the Third Workshop on Video Analytics for Audience Measurement (VAAM) and the Second International Workshop on Face and Facial Expression Recognition (FFER) from Real...

  13. Essentializing race: its implications on racial categorization.

    Science.gov (United States)

    Chao, Melody Manchi; Hong, Ying-yi; Chiu, Chi-yue

    2013-04-01

    Racial classification has drawn increasing attention in public discourse; it intertwines with issues related to racialized perceptions. However, few social psychological studies have systematically examined racial categorization processes and their implications for interracial relations. In 5 studies, we investigated the role of racial essentialism in influencing several important psychological aspects of racial categorization. Results linked the belief in racial essentialism to an increased tendency to engage in race-based categorization (Studies 1-3) and greater sensitivity in discerning racial group membership (Studies 4-5). These results are discussed in terms of their implications for understanding and managing interracial relations in the United States.

  14. PROTOTYPICAL CATEGORIZATION - LINGUOCOGNITIVE FORM OF FLEXIBLE RATIONALITY

    Directory of Open Access Journals (Sweden)

    Svetlana Masalova

    2014-06-01

    Full Text Available The article discusses the prototypical categorization as linguocognitive form of the flexible rationality. Flexible rationality reveals the correlation of the rational and irrational in cognition. The embodiment form of the flexible linguistic consciousness is a concept as a category protoform. The process of formation of the conception from the concept is a prototypical categorization. Serving as the cognitive "tool", prototypical categorization as a linguistic structure demonstrates the perception integrity and meaning system of the cognizing subject as the ontic holistic bearer of the flexible rationality in unity of the anthropological and socio-cultural specifics.

  15. Categorizing document by fuzzy C-Means and K-nearest neighbors approach

    Science.gov (United States)

    Priandini, Novita; Zaman, Badrus; Purwanti, Endah

    2017-08-01

    Increasing of technology had made categorizing documents become important. It caused by increasing of number of documents itself. Managing some documents by categorizing is one of Information Retrieval application, because it involve text mining on its process. Whereas, categorization technique could be done both Fuzzy C-Means (FCM) and K-Nearest Neighbors (KNN) method. This experiment would consolidate both methods. The aim of the experiment is increasing performance of document categorize. First, FCM is in order to clustering training documents. Second, KNN is in order to categorize testing document until the output of categorization is shown. Result of the experiment is 14 testing documents retrieve relevantly to its category. Meanwhile 6 of 20 testing documents retrieve irrelevant to its category. Result of system evaluation shows that both precision and recall are 0,7.

  16. Random matrix approach to categorical data analysis

    Science.gov (United States)

    Patil, Aashay; Santhanam, M. S.

    2015-09-01

    Correlation and similarity measures are widely used in all the areas of sciences and social sciences. Often the variables are not numbers but are instead qualitative descriptors called categorical data. We define and study similarity matrix, as a measure of similarity, for the case of categorical data. This is of interest due to a deluge of categorical data, such as movie ratings, top-10 rankings, and data from social media, in the public domain that require analysis. We show that the statistical properties of the spectra of similarity matrices, constructed from categorical data, follow random matrix predictions with the dominant eigenvalue being an exception. We demonstrate this approach by applying it to the data for Indian general elections and sea level pressures in the North Atlantic ocean.

  17. EFFECTS OF TALKER GENDER ON DIALECT CATEGORIZATION

    Science.gov (United States)

    CLOPPER, CYNTHIA G.; CONREY, BRIANNA; PISONI, DAVID B.

    2011-01-01

    The identification of the gender of an unfamiliar talker is an easy and automatic process for naïve adult listeners. Sociolinguistic research has consistently revealed gender differences in the production of linguistic variables. Research on the perception of dialect variation, however, has been limited almost exclusively to male talkers. In the present study, naïve participants were asked to categorize unfamiliar talkers by dialect using sentence-length utterances under three presentation conditions: male talkers only, female talkers only, and a mixed gender condition. The results revealed no significant differences in categorization performance across the three presentation conditions. However, a clustering analysis of the listeners’ categorization errors revealed significant effects of talker gender on the underlying perceptual similarity spaces. The present findings suggest that naïve listeners are sensitive to gender differences in speech production and are able to use those differences to reliably categorize unfamiliar male and female talkers by dialect. PMID:21423866

  18. Estimation of Web video multiplicity

    Science.gov (United States)

    Cheung, SenChing S.; Zakhor, Avideh

    1999-12-01

    With ever more popularity of video web-publishing, many popular contents are being mirrored, reformatted, modified and republished, resulting in excessive content duplication. While such redundancy provides fault tolerance for continuous availability of information, it could potentially create problems for multimedia search engines in that the search results for a given query might become repetitious, and cluttered with a large number of duplicates. As such, developing techniques for detecting similarity and duplication is important to multimedia search engines. In addition, content providers might be interested in identifying duplicates of their content for legal, contractual or other business related reasons. In this paper, we propose an efficient algorithm called video signature to detect similar video sequences for large databases such as the web. The idea is to first form a 'signature' for each video sequence by selection a small number of its frames that are most similar to a number of randomly chosen seed images. Then the similarity between any tow video sequences can be reliably estimated by comparing their respective signatures. Using this method, we achieve 85 percent recall and precision ratios on a test database of 377 video sequences. As a proof of concept, we have applied our proposed algorithm to a collection of 1800 hours of video corresponding to around 45000 clips from the web. Our results indicate that, on average, every video in our collection from the web has around five similar copies.

  19. Hybrid Machine Learning Approach for Text Categorization

    OpenAIRE

    Nerijus Remeikis; Ignas Skucas; Vida Melninkaite

    2007-01-01

    Text categorization - the assignment of natural language documents to one or more predefined categories based on their semantic content - is an important component in many information organization and management tasks. Performance of neural networks learning is known to be sensitive to the initial weights and architecture. This paper discusses the use multilayer neural network initialization with decision tree classifier for improving text categorization accuracy. An adaptation of the algorit...

  20. Coping with Nonstationarity in Categorical Time Series

    Directory of Open Access Journals (Sweden)

    Monnie McGee

    2012-01-01

    more categories. In this paper, we introduce an algorithm which corrects for nonstationarity in categorical time series. The algorithm produces series which are not stationary in the traditional sense often used for stationary categorical time series. The form of stationarity is weaker but still useful for parameter estimation. Simulation results show that this simple algorithm applied to a DAR(1 model can dramatically improve the parameter estimates.

  1. NMR investigation of domain wall dynamics and hyperfine field anisotropy in magnets by the magnetic video-pulse excitation method

    Science.gov (United States)

    Gavasheli, Ts A.; Mamniashvili, GI; Gegechkori, T. O.

    2017-04-01

    Two-pulse nuclear spin echoes were studied experimentally depending on the time of application and pulse amplitudes of the DC magnetic field-magnetic video-pulses (MVP) as well as on the value of the external magnetic field. The measurements were performed with nanopowders and polycrystals of metallic cobalt, in lithium ferrite and half metal Co2MnSi. Two types of dependences of these signals on time of application of MVP with respect to moments of application of exciting radio-frequency pulses were established, which were determined by the degree of anisotropy of local hyperfine fields. The mechanisms of influence of the pinning and mobility of domain walls on the revealed specific features of the signals under study are also discussed. It is shown that temporal spectra of the MVP effect on two-pulse echoes in multidomain magnets are determined by the parameters of domain walls and can be used for qualitative and quantitative characterization of the domain wall dynamics of magnets.

  2. Fuzzy logic and optical correlation-based face recognition method for patient monitoring application in home video surveillance

    Science.gov (United States)

    Elbouz, Marwa; Alfalou, Ayman; Brosseau, Christian

    2011-06-01

    Home automation is being implemented into more and more domiciles of the elderly and disabled in order to maintain their independence and safety. For that purpose, we propose and validate a surveillance video system, which detects various posture-based events. One of the novel points of this system is to use adapted Vander-Lugt correlator (VLC) and joint-transfer correlator (JTC) techniques to make decisions on the identity of a patient and his three-dimensional (3-D) positions in order to overcome the problem of crowd environment. We propose a fuzzy logic technique to get decisions on the subject's behavior. Our system is focused on the goals of accuracy, convenience, and cost, which in addition does not require any devices attached to the subject. The system permits one to study and model subject responses to behavioral change intervention because several levels of alarm can be incorporated according different situations considered. Our algorithm performs a fast 3-D recovery of the subject's head position by locating eyes within the face image and involves a model-based prediction and optical correlation techniques to guide the tracking procedure. The object detection is based on (hue, saturation, value) color space. The system also involves an adapted fuzzy logic control algorithm to make a decision based on information given to the system. Furthermore, the principles described here are applicable to a very wide range of situations and robust enough to be implementable in ongoing experiments.

  3. Categorization of compensatory motions in transradial myoelectric prosthesis users.

    Science.gov (United States)

    Hussaini, Ali; Zinck, Arthur; Kyberd, Peter

    2017-06-01

    Prosthesis users perform various compensatory motions to accommodate for the loss of the hand and wrist as well as the reduced functionality of a prosthetic hand. Investigate different compensation strategies that are performed by prosthesis users. Comparative analysis. A total of 20 able-bodied subjects and 4 prosthesis users performed a set of bimanual activities. Movements of the trunk and head were recorded using a motion capture system and a digital video recorder. Clinical motion angles were calculated to assess the compensatory motions made by the prosthesis users. The video recording also assisted in visually identifying the compensations. Compensatory motions by the prosthesis users were evident in the tasks performed (slicing and stirring activities) as compared to the benchmark of able-bodied subjects. Compensations took the form of a measured increase in range of motion, an observed adoption of a new posture during task execution, and prepositioning of items in the workspace prior to initiating a given task. Compensatory motions were performed by prosthesis users during the selected tasks. These can be categorized into three different types of compensations. Clinical relevance Proper identification and classification of compensatory motions performed by prosthesis users into three distinct forms allows clinicians and researchers to accurately identify and quantify movement. It will assist in evaluating new prosthetic interventions by providing distinct terminology that is easily understood and can be shared between research institutions.

  4. Discourse forms and social categorization in Cha'palaa

    OpenAIRE

    Floyd, S.

    2010-01-01

    This dissertation is an ethnographic study of race and other forms of social categorization as approached through the discourse of the indigenous Chachi people of northwestern lowland Ecuador and their Afro-descendant neighbors. It combines the ethnographic methods of social anthropology with the methods of descriptive linguistics, letting social questions about racial formation guide linguistic inquiry. It provides new information about the largely unstudied indigenous South American languag...

  5. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks

    Directory of Open Access Journals (Sweden)

    Asiya Khan

    2010-01-01

    Full Text Available The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over Universal Mobile Telecommunication Systems (UMTS networks. In order to characterize the Quality of Service (QoS level, a learning model based on Adaptive Neural Fuzzy Inference System (ANFIS and a second model based on non-linear regression analysis is proposed to predict the video quality in terms of the Mean Opinion Score (MOS. The objective of the paper is two-fold. First, to find the impact of QoS parameters on end-to-end video quality for H.264 encoded video. Second, to develop learning models based on ANFIS and non-linear regression analysis to predict video quality over UMTS networks by considering the impact of radio link loss models. The loss models considered are 2-state Markov models. Both the models are trained with a combination of physical and application layer parameters and validated with unseen dataset. Preliminary results show that good prediction accuracy was obtained from both the models. The work should help in the development of a reference-free video prediction model and QoS control methods for video over UMTS networks.

  6. Can fractal methods applied to video tracking detect the effects of deltamethrin pesticide or mercury on the locomotion behavior of shrimps?

    Science.gov (United States)

    Tenorio, Bruno Mendes; da Silva Filho, Eurípedes Alves; Neiva, Gentileza Santos Martins; da Silva, Valdemiro Amaro; Tenorio, Fernanda das Chagas Angelo Mendes; da Silva, Themis de Jesus; Silva, Emerson Carlos Soares E; Nogueira, Romildo de Albuquerque

    2017-08-01

    Shrimps can accumulate environmental toxicants and suffer behavioral changes. However, methods to quantitatively detect changes in the behavior of these shrimps are still needed. The present study aims to verify whether mathematical and fractal methods applied to video tracking can adequately describe changes in the locomotion behavior of shrimps exposed to low concentrations of toxic chemicals, such as 0.15µgL-1 deltamethrin pesticide or 10µgL-1 mercuric chloride. Results showed no change after 1min, 4, 24, and 48h of treatment. However, after 72 and 96h of treatment, both the linear methods describing the track length, mean speed, mean distance from the current to the previous track point, as well as the non-linear methods of fractal dimension (box counting or information entropy) and multifractal analysis were able to detect changes in the locomotion behavior of shrimps exposed to deltamethrin. Analysis of angular parameters of the track points vectors and lacunarity were not sensitive to those changes. None of the methods showed adverse effects to mercury exposure. These mathematical and fractal methods applicable to software represent low cost useful tools in the toxicological analyses of shrimps for quality of food, water and biomonitoring of ecosystems. Copyright © 2017 Elsevier Inc. All rights reserved.

  7. A Serious Video Game to Increase Fruit and Vegetable Consumption Among Elementary Aged Youth (Squire’s Quest! II): Rationale, Design, and Methods

    Science.gov (United States)

    Bhatt, Riddhi; Cullen, Karen; Baranowski, Janice; Baranowski, Tom

    2012-01-01

    Background Youths eat fewer fruits and vegetables than recommended. Effective methods are needed to increase and maintain their fruit and vegetable consumption. Goal setting has been an effective behavior change procedure among adults, but has had limited effectiveness among youths. Implementation intentions are specific plans to facilitate goal attainment. Redefining goal setting to include implementation intentions may be an effective way to increase effectiveness. Video games offer a controlled venue for conducting behavioral research and testing hypotheses to identify mechanisms of effect. Objective This report describes the protocol that guided the design and evaluation of Squire’s Quest! II, a video game aimed to increase child fruit and vegetable consumption. Methods Squire’s Quest! II is a 10-episode videogame promoting fruit and vegetable consumption to 4th and 5th grade children (approximately 9-11 year old youths). A four group randomized design (n=400 parent/child dyads) was used to systematically test the effect of two types of implementation intentions (action, coping) on fruit and vegetable goal attainment and consumption of 4th and 5th graders. Data collection occurred at baseline, immediately post game-play, and 3 months later. Child was the unit of assignment. Three dietary recalls were collected at each data collection period by trained interviewers using the Nutrient Data System for Research (NDSR 2009). Psychosocial and process data were also collected. Results To our knowledge, this is the first research to explore the effect of implementation intentions on child fruit and vegetable goal attainment and consumption. Conclusions This intervention will contribute valuable information regarding whether implementation intentions are effective with elementary age children. Trial Registration ClinicalTrials.gov NCT01004094 PMID:23612366

  8. Internet video-on-demand e-commerce system based on multilevel video metadata

    Science.gov (United States)

    Xia, Jiali; Jin, Jesse S.

    2000-10-01

    Video-On-Demand is a new development on the Internet. In order to manage the rich multimedia information and the large number of users, we present an Internet Video-On-Demand system with some E- Commerce flavors. This paper presents the system architecture and technologies required in the implementation. It provides interactive Video-On-Demand services in which the user has a complete control over the session presentation. It allows the user to select and receive specific video information by retrieving the database. For improving the performance of video information retrieval and management, the video information is represented by hierarchical video metadata in XML format. Video metadatabase stored the video information in this hierarchical structure and allows user to search the video shots at different semantic levels in the database. To browse the searched video, the user not only has full-function VCR capabilities as the traditional Video-On-Demand, but also can browse the video in a hierarchical method to view different shots. In order to perform management of large number of users over the Internet, a membership database designed and managed in an E-Commerce environment, which allows the user to access the video database based on different access levels.

  9. The Extended-OPQ Method for User-Centered Quality of Experience Evaluation: A Study for Mobile 3D Video Broadcasting over DVB-H

    Directory of Open Access Journals (Sweden)

    Jumisko-Pyykkö Satu

    2011-01-01

    Full Text Available Abstract The Open Profiling of Quality (OPQ is a mixed methods approach combining a conventional quantitative psychoperceptual evaluation and qualitative descriptive quality evaluation based on naïve participants' individual vocabulary. The method targets evaluation of heterogeneous and multimodal stimulus material. The current OPQ data collection procedure provides a rich pool of data, but full benefit of it has neither been taken in the analysis to build up completeness in understanding the phenomenon under the study nor has the procedure in the analysis been probed with alternative methods. The goal of this paper is to extend the original OPQ method with advanced research methods that have become popular in related research and the component model to be able to generalize individual attributes into a terminology of Quality of Experience. We conduct an extensive subjective quality evaluation study for 3D video on mobile device with heterogeneous stimuli. We vary factors on content, media (coding, concealments, and slice modes, and transmission levels (channel loss rate. The results showed that advanced procedures in the analysis cannot only complement each other but also draw deeper understanding on Quality of Experience.

  10. Face Recognition and Tracking in Videos

    Directory of Open Access Journals (Sweden)

    Swapnil Vitthal Tathe

    2017-07-01

    Full Text Available Advancement in computer vision technology and availability of video capturing devices such as surveillance cameras has evoked new video processing applications. The research in video face recognition is mostly biased towards law enforcement applications. Applications involves human recognition based on face and iris, human computer interaction, behavior analysis, video surveillance etc. This paper presents face tracking framework that is capable of face detection using Haar features, recognition using Gabor feature extraction, matching using correlation score and tracking using Kalman filter. The method has good recognition rate for real-life videos and robust performance to changes due to illumination, environmental factors, scale, pose and orientations.

  11. ProbCD: enrichment analysis accounting for categorization uncertainty

    Directory of Open Access Journals (Sweden)

    Shmulevich Ilya

    2007-10-01

    Full Text Available Abstract Background As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analysis known in this field as enrichment (also over-representation or enhancement analysis. In spite of efforts to create probabilistic annotations, especially in the Gene Ontology context, or to deal with uncertainty in high throughput-based datasets, current enrichment methods largely ignore this probabilistic information since they are mainly based on variants of the Fisher Exact Test. Results We developed an open-source R-based software to deal with probabilistic categorical data analysis, ProbCD, that does not require a static contingency table. The contingency table for the enrichment problem is built using the expectation of a Bernoulli Scheme stochastic process given the categorization probabilities. An on-line interface was created to allow usage by non-programmers and is available at: http://xerad.systemsbiology.net/ProbCD/. Conclusion We present an analysis framework and software tools to address the issue of uncertainty in categorical data analysis. In particular, concerning the enrichment analysis, ProbCD can accommodate: (i the stochastic nature of the high-throughput experimental techniques and (ii probabilistic gene annotation.

  12. CATEGORIZATION OF EVENT SEQUENCES FOR LICENSE APPLICATION

    Energy Technology Data Exchange (ETDEWEB)

    G.E. Ragan; P. Mecheret; D. Dexheimer

    2005-04-14

    The purposes of this analysis are: (1) Categorize (as Category 1, Category 2, or Beyond Category 2) internal event sequences that may occur before permanent closure of the repository at Yucca Mountain. (2) Categorize external event sequences that may occur before permanent closure of the repository at Yucca Mountain. This includes examining DBGM-1 seismic classifications and upgrading to DBGM-2, if appropriate, to ensure Beyond Category 2 categorization. (3) State the design and operational requirements that are invoked to make the categorization assignments valid. (4) Indicate the amount of material put at risk by Category 1 and Category 2 event sequences. (5) Estimate frequencies of Category 1 event sequences at the maximum capacity and receipt rate of the repository. (6) Distinguish occurrences associated with normal operations from event sequences. It is beyond the scope of the analysis to propose design requirements that may be required to control radiological exposure associated with normal operations. (7) Provide a convenient compilation of the results of the analysis in tabular form. The results of this analysis are used as inputs to the consequence analyses in an iterative design process that is depicted in Figure 1. Categorization of event sequences for permanent retrieval of waste from the repository is beyond the scope of this analysis. Cleanup activities that take place after an event sequence and other responses to abnormal events are also beyond the scope of the analysis.

  13. Solid state video cameras

    CERN Document Server

    Cristol, Y

    2013-01-01

    Solid State Video Cameras reviews the state of the art in the field of solid-state television cameras as compiled from patent literature. Organized into 10 chapters, the book begins with the basic array types of solid-state imagers and appropriate read-out circuits and methods. Documents relating to improvement of picture quality, such as spurious signal suppression, uniformity correction, or resolution enhancement, are also cited. The last part considerssolid-state color cameras.

  14. No-reference pixel based video quality assessment for HEVC decoded video

    DEFF Research Database (Denmark)

    Huang, Xin; Søgaard, Jacob; Forchhammer, Søren

    2017-01-01

    This paper proposes a No-Reference (NR) Video Quality Assessment (VQA) method for videos subject to the distortion given by the High Efficiency Video Coding (HEVC) scheme. The assessment is performed without access to the bitstream. The proposed analysis is based on the transform coefficients...

  15. Reliability of video-based identification of footstrike pattern and video time frame at initial contact in recreational runners

    DEFF Research Database (Denmark)

    Damsted, Camma; Larsen, L H; Nielsen, R.O.

    2015-01-01

    and video time frame at initial contact during treadmill running using two-dimensional (2D) video recordings. METHODS: Thirty-one recreational runners were recorded twice, 1 week apart, with a high-speed video camera. Two blinded raters evaluated each video twice with an interval of at least 14 days...

  16. Regression analysis with categorized regression calibrated exposure: some interesting findings

    Directory of Open Access Journals (Sweden)

    Hjartåker Anette

    2006-07-01

    Full Text Available Abstract Background Regression calibration as a method for handling measurement error is becoming increasingly well-known and used in epidemiologic research. However, the standard version of the method is not appropriate for exposure analyzed on a categorical (e.g. quintile scale, an approach commonly used in epidemiologic studies. A tempting solution could then be to use the predicted continuous exposure obtained through the regression calibration method and treat it as an approximation to the true exposure, that is, include the categorized calibrated exposure in the main regression analysis. Methods We use semi-analytical calculations and simulations to evaluate the performance of the proposed approach compared to the naive approach of not correcting for measurement error, in situations where analyses are performed on quintile scale and when incorporating the original scale into the categorical variables, respectively. We also present analyses of real data, containing measures of folate intake and depression, from the Norwegian Women and Cancer study (NOWAC. Results In cases where extra information is available through replicated measurements and not validation data, regression calibration does not maintain important qualities of the true exposure distribution, thus estimates of variance and percentiles can be severely biased. We show that the outlined approach maintains much, in some cases all, of the misclassification found in the observed exposure. For that reason, regression analysis with the corrected variable included on a categorical scale is still biased. In some cases the corrected estimates are analytically equal to those obtained by the naive approach. Regression calibration is however vastly superior to the naive method when applying the medians of each category in the analysis. Conclusion Regression calibration in its most well-known form is not appropriate for measurement error correction when the exposure is analyzed on a

  17. Videography-Based Unconstrained Video Analysis.

    Science.gov (United States)

    Li, Kang; Li, Sheng; Oh, Sangmin; Fu, Yun

    2017-05-01

    Video analysis and understanding play a central role in visual intelligence. In this paper, we aim to analyze unconstrained videos, by designing features and approaches to represent and analyze videography styles in the videos. Videography denotes the process of making videos. The unconstrained videos are defined as the long duration consumer videos that usually have diverse editing artifacts and significant complexity of contents. We propose to construct a videography dictionary, which can be utilized to represent every video clip as a sequence of videography words. In addition to semantic features, such as foreground object motion and camera motion, we also incorporate two novel interpretable features to characterize videography, including the scale information and the motion correlations. We then demonstrate that, by using statistical analysis methods, the unique videography signatures extracted from different events can be automatically identified. For real-world applications, we explore the use of videography analysis for three types of applications, including content-based video retrieval, video summarization (both visual and textual), and videography-based feature pooling. In the experiments, we evaluate the performance of our approach and other methods on a large-scale unconstrained video dataset, and show that the proposed approach significantly benefits video analysis in various ways.

  18. Visual Categorization and the Parietal Cortex

    Directory of Open Access Journals (Sweden)

    Jamie K Fitzgerald

    2012-05-01

    Full Text Available The primate brain is adept at rapidly grouping items and events into functional classes, or categories, in order to recognize the significance of stimuli and guide behavior. Higher cognitive functions have traditionally been considered the domain of frontal areas. However, increasing evidence suggests that parietal cortex is also involved in categorical and associative processes. Previous work showed that the parietal cortex is highly involved in spatial processing, attention and saccadic eye movement planning, and more recent studies have found decision-making signals in LIP. We recently found that a subdivision of parietal cortex, the lateral intraparietal area (LIP, reflects learned categories for multiple types of visual stimuli. Additionally, a comparison of categorization signals in parietal and frontal areas found stronger and earlier categorization signals in parietal cortex, arguing that parietal abstract association or category signals are unlikely to arise via feedback from prefrontal cortex (PFC.

  19. Learning computer science by watching video games

    OpenAIRE

    Nagataki, Hiroyuki

    2014-01-01

    This paper proposes a teaching method that utilizes video games in computer science education. The primary characteristic of this approach is that it utilizes video games as observational materials. The underlying idea is that by observing the computational behavior of a wide variety of video games, learners will easily grasp the fundamental architecture, theory, and technology of computers. The results of a case study conducted indicate that the method enhances the motivation of students for...

  20. Video temporal alignment for object viewpoint

    OpenAIRE

    Papazoglou, Anestis; Del Pero, Luca; Ferrari, Vittorio

    2017-01-01

    We address the problem of temporally aligning semantically similar videos, for example two videos of cars on different tracks. We present an alignment method that establishes frame-to-frame correspondences such that the two cars are seen from a similar viewpoint (e.g. facing right), while also being temporally smooth and visually pleasing. Unlike previous works, we do not assume that the videos show the same scripted sequence of events. We compare against three alternative methods, including ...

  1. NEI You Tube Videos: Amblyopia

    Medline Plus

    Full Text Available ... NEI YouTube Videos > NEI YouTube Videos: Amblyopia NEI YouTube Videos YouTube Videos Home Age-Related Macular Degeneration ... Retinopathy of Prematurity Science Spanish Videos Webinars NEI YouTube Videos: Amblyopia Embedded video for NEI YouTube Videos: ...

  2. NEI You Tube Videos: Amblyopia

    Medline Plus

    Full Text Available ... YouTube Videos > NEI YouTube Videos: Amblyopia NEI YouTube Videos YouTube Videos Home Age-Related Macular Degeneration Amblyopia ... of Prematurity Science Spanish Videos Webinars NEI YouTube Videos: Amblyopia Embedded video for NEI YouTube Videos: Amblyopia ...

  3. NEI You Tube Videos: Amblyopia

    Science.gov (United States)

    ... YouTube Videos > NEI YouTube Videos: Amblyopia NEI YouTube Videos YouTube Videos Home Age-Related Macular Degeneration Amblyopia ... of Prematurity Science Spanish Videos Webinars NEI YouTube Videos: Amblyopia Embedded video for NEI YouTube Videos: Amblyopia ...

  4. Neural Basis of Video Gaming: A Systematic Review

    OpenAIRE

    Marc Palaus; Marron, Elena M.; Raquel Viejo-Sobera; Diego Redolar-Ripoll

    2017-01-01

    Background: Video gaming is an increasingly popular activity in contemporary society, especially among young people, and video games are increasing in popularity not only as a research tool but also as a field of study. Many studies have focused on the neural and behavioral effects of video games, providing a great deal of video game derived brain correlates in recent decades. There is a great amount of information, obtained through a myriad of methods, providing neural correlates of video ga...

  5. Neural Basis of Video Gaming: A Systematic Review

    OpenAIRE

    Palaus, Marc; Marron, Elena M.; Viejo-Sobera, Raquel; Redolar-Ripoll, Diego

    2017-01-01

    Video gaming is an increasingly popular activity in contemporary society, especially among young people, and video games are increasing in popularity not only as a research tool but also as a field of study. Many studies have focused on the neural and behavioral effects of video games, providing a great deal of video game derived brain correlates in recent decades. There is a great amount of information, obtained through a myriad of methods, providing neural correlates of video games. We aim ...

  6. The Education of the Categorical Imperative

    Science.gov (United States)

    Johnston, James Scott

    2006-01-01

    In this article, I examine anew the moral philosophy of Immanuel Kant and its contributions to educational theory. I make four claims. First, that Kant should be read as having the Categorical Imperative develop out of subjective maxims. Second, that moral self-perfection is the aim of moral education. Third, that moral self-perfection develops by…

  7. Same-Different Categorization in Rats

    Science.gov (United States)

    Wasserman, Edward A.; Castro, Leyre; Freeman, John H.

    2012-01-01

    Same-different categorization is a fundamental feat of human cognition. Although birds and nonhuman primates readily learn same-different discriminations and successfully transfer them to novel stimuli, no such demonstration exists for rats. Using a spatial discrimination learning task, we show that rats can both learn to discriminate arrays of…

  8. Can the Cumulative Hierarchy Be Categorically Characterized?

    NARCIS (Netherlands)

    Incurvati, L.

    2016-01-01

    Mathematical realists have long invoked the categoricity of axiomatizations of arithmetic and analysis to explain how we manage to fix the intended meaning of their respective vocabulary. Can this strategy be extended to set theory? Although traditional wisdom recommends a negative answer to this

  9. Quantifier Scope in Categorical Compositional Distributional Semantics

    Directory of Open Access Journals (Sweden)

    Mehrnoosh Sadrzadeh

    2016-08-01

    Full Text Available In previous work with J. Hedges, we formalised a generalised quantifiers theory of natural language in categorical compositional distributional semantics with the help of bialgebras. In this paper, we show how quantifier scope ambiguity can be represented in that setting and how this representation can be generalised to branching quantifiers.

  10. Neurophysiological Evidence for Categorical Perception of Color

    Science.gov (United States)

    Holmes, Amanda; Franklin, Anna; Clifford, Alexandra; Davies, Ian

    2009-01-01

    The aim of this investigation was to examine the time course and the relative contributions of perceptual and post-perceptual processes to categorical perception (CP) of color. A visual oddball task was used with standard and deviant stimuli from same (within-category) or different (between-category) categories, with chromatic separations for…

  11. A quick survey of text categorization algorithms

    OpenAIRE

    Dan MUNTEANU

    2007-01-01

    This paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN), Support Vector Machines (SVM).

  12. Other-Initiated Repair and Membership Categorization

    DEFF Research Database (Denmark)

    Egbert, Maria

    2004-01-01

    membership where apparent trouble in hearing or understanding the talk are addressed (‘‘other- initiated repair’’ [Language 54 (2) (1977) 361]). These practices of membership categorizing are inferred from different kinds of structural elaborateness beyond the basic two-part repair sequence. CA is shown...

  13. Information criterion for the categorization quality evaluation

    Directory of Open Access Journals (Sweden)

    Michail V. Svirkin

    2011-05-01

    Full Text Available The paper considers the possibility of using the variation of information function as a quality criterion for categorizing a collection of documents. The performance of the variation of information function is being examined subject to the number of categories and the sample volume of the test document collection.

  14. Local Alignments for Fine-Grained Categorization

    NARCIS (Netherlands)

    Gavves, E.; Fernando, B.; Snoek, C.G.M.; Smeulders, A.W.M.; Tuytelaars, T.

    2015-01-01

    The aim of this paper is fine-grained categorization without human interaction. Different from prior work, which relies on detectors for specific object parts, we propose to localize distinctive details by roughly aligning the objects using just the overall shape. Then, one may proceed to the

  15. Categorical Perception in American Sign Language.

    Science.gov (United States)

    Emmorey, Karen; McCullough, Stephen; Brentari, Diane

    2003-01-01

    Two experiments examined whether Deaf signers or hearing nonsigners exhibit categorical perception (CP) for hand configuration or for place of articulation in American Sign Language. Findings that signers and nonsigners performed similarly suggests that these categories in American Sign Language have a perceptual as well as a linguistic basis.…

  16. 36 CFR 220.6 - Categorical exclusions.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 2 2010-07-01 2010-07-01 false Categorical exclusions. 220.6 Section 220.6 Parks, Forests, and Public Property FOREST SERVICE, DEPARTMENT OF AGRICULTURE NATIONAL... portion of a stand damaged by a wind or ice event and construction of a short temporary road to access the...

  17. 36 CFR 907.10 - Categorical exclusion.

    Science.gov (United States)

    2010-07-01

    ... human environment. Therefore, neither an environmental assessment nor an environmental impact statement... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Categorical exclusion. 907.10 Section 907.10 Parks, Forests, and Public Property PENNSYLVANIA AVENUE DEVELOPMENT CORPORATION...

  18. Recent developments in maximum likelihood estimation of MTMM models for categorical data

    Directory of Open Access Journals (Sweden)

    Minjeong eJeon

    2014-04-01

    Full Text Available Maximum likelihood (ML estimation of categorical multitrait-multimethod (MTMM data is challenging because the likelihood involves high-dimensional integrals over the crossed method and trait factors, with no known closed-form solution.The purpose of the study is to introduce three newly developed ML methods that are eligible for estimating MTMM models with categorical responses: Variational maximization-maximization, Alternating imputation posterior, and Monte Carlo local likelihood. Each method is briefly described and its applicability for MTMM models with categorical data are discussed.An illustration is provided using an empirical example.

  19. EnsCat: clustering of categorical data via ensembling.

    Science.gov (United States)

    Clarke, Bertrand S; Amiri, Saeid; Clarke, Jennifer L

    2016-09-15

    Clustering is a widely used collection of unsupervised learning techniques for identifying natural classes within a data set. It is often used in bioinformatics to infer population substructure. Genomic data are often categorical and high dimensional, e.g., long sequences of nucleotides. This makes inference challenging: The distance metric is often not well-defined on categorical data; running time for computations using high dimensional data can be considerable; and the Curse of Dimensionality often impedes the interpretation of the results. Up to the present, however, the literature and software addressing clustering for categorical data has not yet led to a standard approach. We present software for an ensemble method that performs well in comparison with other methods regardless of the dimensionality of the data. In an ensemble method a variety of instantiations of a statistical object are found and then combined into a consensus value. It has been known for decades that ensembling generally outperforms the components that comprise it in many settings. Here, we apply this ensembling principle to clustering. We begin by generating many hierarchical clusterings with different clustering sizes. When the dimension of the data is high, we also randomly select subspaces also of variable size, to generate clusterings. Then, we combine these clusterings into a single membership matrix and use this to obtain a new, ensembled dissimilarity matrix using Hamming distance. Ensemble clustering, as implemented in R and called EnsCat, gives more clearly separated clusters than other clustering techniques for categorical data. The latest version with manual and examples is available at https://github.com/jlp2duke/EnsCat .

  20. Rheumatoid Arthritis Educational Video Series

    Medline Plus

    Full Text Available ... Rheumatoid Arthritis Educational Video Series Rheumatoid Arthritis Educational Video Series This series of five videos was designed ... Activity Role of Body Weight in Osteoarthritis Educational Videos for Patients Rheumatoid Arthritis Educational Video Series Psoriatic ...

  1. Methods to evaluate functional nerve recovery in adult rats : walking track analysis, video analysis and the withdrawal reflex

    NARCIS (Netherlands)

    Dijkstra, [No Value; Meek, MF; Robinson, PH; Gramsbergen, A

    2000-01-01

    The aim of this study was to compare different methods for the evaluation of functional nerve recovery. Three groups of adult male Wistar rats were studied. In group A, a 12-mm gap between nerve ends was bridged by an autologous nerve graft; in rats of group B we performed a crush lesion of the

  2. Generalized linear models for categorical and continuous limited dependent variables

    CERN Document Server

    Smithson, Michael

    2013-01-01

    Introduction and OverviewThe Nature of Limited Dependent VariablesOverview of GLMsEstimation Methods and Model EvaluationOrganization of This BookDiscrete VariablesBinary VariablesLogistic RegressionThe Binomial GLMEstimation Methods and IssuesAnalyses in R and StataExercisesNominal Polytomous VariablesMultinomial Logit ModelConditional Logit and Choice ModelsMultinomial Processing Tree ModelsEstimation Methods and Model EvaluationAnalyses in R and StataExercisesOrdinal Categorical VariablesModeling Ordinal Variables: Common Practice versus Best PracticeOrdinal Model AlternativesCumulative Mod

  3. Verbal methods of realisation of addresser-addressee relations in French political media texts (through the example of the texts of political videos issued by the candidates for the French 2017 presidential election

    Directory of Open Access Journals (Sweden)

    Dmitrieva Anastasia Valerievna

    2017-10-01

    Full Text Available The article deals with the addresser-addressee relations in the texts of French political advertising video clips from the verbal, textual point of view. The texts of video clips issued by the candidates for the French 2017 presidential election during the first round of the campaign serve as the material for this article. The aim of the article is to determine how the candidates (i.e. the addressers effectuate their relations with the voters (i.e. the addressees in the texts of their videos. As a result, a range of rhetorical methods were used by the candidates allowing them to attract maximum attention of the target audience. It makes the addressees trust the addresser and provide the desired perlocutionary effect.

  4. A multi-method study to determine the effectiveness of, and student attitudes to, online instructional videos for teaching clinical nursing skills.

    Science.gov (United States)

    Kelly, Mary; Lyng, Colette; McGrath, Mary; Cannon, Gerald

    2009-04-01

    E-learning is regularly promoted in higher education settings as a way of fostering more flexible approaches to learning. It has been argued however that the 'potential benefits of new information and communication technology instruments in education' have not been subjected to critical scrutiny (Debande, O., 2004. ICTs and the development of e-learning in Europe: the role of the public and private sectors. European Journal of Education 39 (2), 191-208, p. 192). This paper outlines a multi-method evaluation of an e-learning innovation designed to teach clinical skills to student nurses. Responding to the challenges of teaching clinical skills to large class sizes, we developed a set of instructional videos for one undergraduate skills-based module, which are now integral to the module and available online to students on a continuous basis. Evaluation suggests that students' performance outcomes are unchanged. The students view the flexible and self-management aspects of this method of learning positively, with some attitudinal differences between male and female, and mature and non-mature students. However, it is best used to complement rather than replace lecturer demonstration, lending support to a 'blended' model (Collis, B., van der Wende, M., 2002. Models of Technology and Change in Higher Education: An International Comparative Survey on The Current and Future Use of ICT in Higher Education, University of Twente, Center for Higher Education Policy Studies, The Netherlands).

  5. Application of Mean of Absolute Deviation Method for the Selection of Best Nonlinear Component Based on Video Encryption

    Science.gov (United States)

    Anees, Amir; Khan, Waqar Ahmad; Gondal, Muhammad Asif; Hussain, Iqtadar

    2013-07-01

    The aim of this work is to make use of the mean of absolute deviation (MAD) method for the evaluation process of substitution boxes used in the advanced encryption standard. In this paper, we use the MAD technique to analyze some popular and prevailing substitution boxes used in encryption processes. In particular, MAD is applied to advanced encryption standard (AES), affine power affine (APA), Gray, Lui J., Residue Prime, S8 AES, SKIPJACK, and Xyi substitution boxes.

  6. Video Design Games

    DEFF Research Database (Denmark)

    Smith, Rachel Charlotte; Christensen, Kasper Skov; Iversen, Ole Sejer

    We introduce Video Design Games to train educators in teaching design. The Video Design Game is a workshop format consisting of three rounds in which participants observe, reflect and generalize based on video snippets from their own practice. The paper reports on a Video Design Game workshop...

  7. Categorical Abstract Algebraic Logic: Meet-Combination of Logical Systems

    Directory of Open Access Journals (Sweden)

    George Voutsadakis

    2013-01-01

    properties inherited by the resulting combinations. One of the oldest such methods is fibring. In fibring the shared connectives of the combined logics inherit properties from both component logical systems, and this leads often to inconsistencies. To deal with such undesired effects, Sernadas et al. (2011, 2012 have recently introduced a novel way of combining logics, called meet-combination, in which the combined connectives share only the common logical properties they enjoy in the component systems. In their investigations they provide a sound and concretely complete calculus for the meet-combination based on available sound and complete calculi for the component systems. In this work, an effort is made to abstract those results to a categorical level amenable to categorical abstract algebraic logic techniques.

  8. Robust Shot Boundary Detection from Video Using Dynamic Texture

    Directory of Open Access Journals (Sweden)

    Peng Taile

    2014-03-01

    Full Text Available Video boundary detection belongs to a basis subject in computer vision. It is more important to video analysis and video understanding. The existing video boundary detection methods always are effective to certain types of video data. These methods have relatively low generalization ability. We present a novel shot boundary detection algorithm based on video dynamic texture. Firstly, the two adjacent frames are read from a given video. We normalize the two frames to get the same size frame. Secondly, we divide these frames into some sub-domain on the same standard. The following thing is to calculate the average gradient direction of sub-domain and form dynamic texture. Finally, the dynamic texture of adjacent frames is compared. We have done some experiments in different types of video data. These experimental results show that our method has high generalization ability. To different type of videos, our algorithm can achieve higher average precision and average recall relative to some algorithms.

  9. Characterization of social video

    Science.gov (United States)

    Ostrowski, Jeffrey R.; Sarhan, Nabil J.

    2009-01-01

    The popularity of social media has grown dramatically over the World Wide Web. In this paper, we analyze the video popularity distribution of well-known social video websites (YouTube, Google Video, and the AOL Truveo Video Search engine) and characterize their workload. We identify trends in the categories, lengths, and formats of those videos, as well as characterize the evolution of those videos over time. We further provide an extensive analysis and comparison of video content amongst the main regions of the world.

  10. R-clustering for egocentric video segmentation

    NARCIS (Netherlands)

    Talavera Martínez, Estefanía; Radeva, Petia

    2015-01-01

    In this paper, we present a new method for egocentric video temporal segmentation based on integrating a statistical mean change detector and agglomerative clustering(AC) within an energy-minimization framework. Given the tendency of most AC methods to oversegment video sequences when clustering

  11. Interaction and behaviour imaging: a novel method to measure mother-infant interaction using video 3D reconstruction.

    Science.gov (United States)

    Leclère, C; Avril, M; Viaux-Savelon, S; Bodeau, N; Achard, C; Missonnier, S; Keren, M; Feldman, R; Chetouani, M; Cohen, D

    2016-05-24

    Studying early interaction is essential for understanding development and psychopathology. Automatic computational methods offer the possibility to analyse social signals and behaviours of several partners simultaneously and dynamically. Here, 20 dyads of mothers and their 13-36-month-old infants were videotaped during mother-infant interaction including 10 extremely high-risk and 10 low-risk dyads using two-dimensional (2D) and three-dimensional (3D) sensors. From 2D+3D data and 3D space reconstruction, we extracted individual parameters (quantity of movement and motion activity ratio for each partner) and dyadic parameters related to the dynamics of partners heads distance (contribution to heads distance), to the focus of mutual engagement (percentage of time spent face to face or oriented to the task) and to the dynamics of motion activity (synchrony ratio, overlap ratio, pause ratio). Features are compared with blind global rating of the interaction using the coding interactive behavior (CIB). We found that individual and dyadic parameters of 2D+3D motion features perfectly correlates with rated CIB maternal and dyadic composite scores. Support Vector Machine classification using all 2D-3D motion features classified 100% of the dyads in their group meaning that motion behaviours are sufficient to distinguish high-risk from low-risk dyads. The proposed method may present a promising, low-cost methodology that can uniquely use artificial technology to detect meaningful features of human interactions and may have several implications for studying dyadic behaviours in psychiatry. Combining both global rating scales and computerized methods may enable a continuum of time scale from a summary of entire interactions to second-by-second dynamics.

  12. Video visual analytics

    OpenAIRE

    Höferlin, Markus Johannes

    2013-01-01

    The amount of video data recorded world-wide is tremendously growing and has already reached hardly manageable dimensions. It originates from a wide range of application areas, such as surveillance, sports analysis, scientific video analysis, surgery documentation, and entertainment, and its analysis represents one of the challenges in computer science. The vast amount of video data renders manual analysis by watching the video data impractical. However, automatic evaluation of video material...

  13. Human Pose Estimation and Activity Recognition from Multi-View Videos

    DEFF Research Database (Denmark)

    Holte, Michael Boelstoft; Tran, Cuong; Trivedi, Mohan

    2012-01-01

    –computer interaction (HCI), assisted living, gesture-based interactive games, intelligent driver assistance systems, movies, 3D TV and animation, physical therapy, autonomous mental development, smart environments, sport motion analysis, video surveillance, and video annotation. Next, we review and categorize recent...

  14. No-Reference Video Quality Assessment using MPEG Analysis

    DEFF Research Database (Denmark)

    Søgaard, Jacob; Forchhammer, Søren; Korhonen, Jari

    2013-01-01

    We present a method for No-Reference (NR) Video Quality Assessment (VQA) for decoded video without access to the bitstream. This is achieved by extracting and pooling features from a NR image quality assessment method used frame by frame. We also present methods to identify the video coding...... and estimate the video coding parameters for MPEG-2 and H.264/AVC which can be used to improve the VQA. The analysis differs from most other video coding analysis methods since it is without access to the bitstream. The results show that our proposed method is competitive with other recent NR VQA methods...

  15. Smoking in Video Games: A Systematic Review.

    OpenAIRE

    Forsyth, SR; Malone, RE

    2016-01-01

    INTRODUCTION: Video games are played by a majority of adolescents, yet little is known about whether and how video games are associated with smoking behavior and attitudes. This systematic review examines research on the relationship between video games and smoking. METHODS: We searched MEDLINE, psycINFO, and Web of Science through August 20, 2014. Twenty-four studies met inclusion criteria. Studies were synthesized qualitatively in four domains: the prevalence and incidence of smoking imager...

  16. Rationale and methods for a randomized controlled trial of a movement-to-music video program for decreasing sedentary time among mother-child pairs

    National Research Council Canada - National Science Library

    Tuominen, Pipsa P A; Husu, Pauliina; Raitanen, Jani; Luoto, Riitta M

    2015-01-01

    .... A randomized controlled trial targeting mother-child pairs has been designed, to examine whether a movement-to-music video program may be effective in reducing sedentary time and increasing physical...

  17. CATEGORICAL IMAGE COMPONENTS IN THE FORMING SYSTEM OF A MARKETING TECHNIQUES MANAGER’S IMAGE CULTURE

    Directory of Open Access Journals (Sweden)

    Anna Borisovna Cherednyakova

    2015-08-01

    Full Text Available Based on the understanding of the image culture formation of managers of marketing techniques, as a representative of the social and communication interaction of public structures, categorical apparatus of image culture with an emphasis on the etymology of the image, as an integral component of image culture was analyzed. Categorical components of the image are presented from the standpoint of image culture, as personal new formation, an integral part of the professional activity of the marketing techniques manager: object-communicative categorical component, subject-activity categorical component of image, personality-oriented categorical component, value-acmeological categorical component of image.The aim is to identify and justify the image categorical components as a component of image culture of the marketing techniques manager.Method and methodology of work – a general scientific research approach reflecting scientific apparatus of research.Results. Categorical components of the image, as an image culture component of manager of marketing techniques were defined.Practical implication of the results. The theoretical part of «Imageology» course, special course «Image culture of manager of marketing techniques», the theoretical and methodological study and the formation of image culture.

  18. Development of video-assisted breast cancer surgery: Initial experience with a novel method for creating working space without prior liposuction

    OpenAIRE

    Wu, Qian-Fu; Yu, Ying-Hua; Zhu, Xiao; Cui, Ying; Mo, Qin-Guo; Wei, Chang-Yuan; Lin, Xue-Juan; Liu, Xue-Ying; Xie, Wei-Kang; Gan, Shui; Lei, Wei

    2017-01-01

    Endoscopic techniques are promising in breast surgery. In order to create working space, liposuction is widely used in video-assisted breast surgery (VABS). However, the use of liposuction is likely associated with side effects that may partly limit the application of VABS. Therefore, a new technique of endoscopic axillary lymphadenectomy without prior liposuction was developed by our group. A total of 106 female patients underwent VABS, with special adaptation of the video-assisted surgical ...

  19. A categorical framework for quantum theory

    Energy Technology Data Exchange (ETDEWEB)

    Filk, T. [Institute for Physics, University of Freiburg (Germany); Parmenides Center for the Study of Thinking, Muenchen (Germany); Mueller, A. von [Parmenides Center for the Study of Thinking, Muenchen (Germany); Institute for Philosophy, University of Munich (Germany); SISSA, Trieste (Italy)

    2010-11-15

    Underlying any physical theory is a layer of conceptual frames. They connect the mathematical structures used in theoretical models with the phenomena, but they also constitute our fundamental assumptions about reality. Many of the discrepancies between quantum physics and classical physics (including Maxwell's electrodynamics and relativity) can be traced back to these categorical foundations. We argue that classical physics corresponds to the factual aspects of reality and requires a categorical framework which consists of four interdependent components: boolean logic, the linear-sequential notion of time, the principle of sufficient reason, and the dichotomy between observer and observed. None of these can be dropped without affecting the others. However, quantum theory also addresses the ''status nascendi'' of facts, i.e., their coming into being. Therefore, quantum physics requires a different conceptual framework which will be elaborated in this article. It is shown that many of its components are already present in the standard formalisms of quantum physics, but in most cases they are highlighted not so much from a conceptual perspective but more from their mathematical structures. The categorical frame underlying quantum physics includes a profoundly different notion of time which encompasses a crucial role for the present. The article introduces the concept of a categorical apparatus (a framework of interdependent categories), explores the appropriate apparatus for classical and quantum theory, and elaborates in particular on the category of non-sequential time and an extended present which seems to be relevant for a quantum theory of (space)-time. (Abstract Copyright [2010], Wiley Periodicals, Inc.)

  20. Categorization and Pathology of Persian Stylistic Researches

    OpenAIRE

    Maryam Dorpar

    2014-01-01

     Abstract In following article, surveys and researches about Persian style were categorized in two branches of historical and formalistic styles Mohammad Taghi Bahar founded stylistics as an autonomous knowledge by publishing his book, History of the evolution of Persian prose (1331), for teaching in University of Tehran. This book which has been influenced by verbal instructions of qajar dynastyâs scholars made the way generally has been followed by researchers in Persian stylistics up ...

  1. Bayesian analysis for categorical survey data

    OpenAIRE

    Grapsa, Erofili

    2010-01-01

    In this thesis, we develop Bayesian methodology for univariate and multivariate categorical survey data. The Multinomial model is used and the following problems are addressed. Limited information about the design variables leads us to model the unknown design variables taking into account the sampling scheme. Random effects are incorporated in the model to deal with the effect of sampling design, that produces the Multinomial GLMM and issues such as model comparison and model averaging are a...

  2. A Categorical Review of Recommender Systems

    OpenAIRE

    RVVSV Prasad; V Valli Kumari

    2012-01-01

    As more and more information became available electronically, the need for effective information retrieval and implementation of filtering tools have became essential for easy access of relevant information. Recommender Systems (RS) are software tools and techniques providing suggestions for items and/or services to be of use to a user. These systems are achieving widespread success in ecommerce applications now a days, with the advent of internet. This paper presents a categorical review ...

  3. Involution of categorical thinking processes in Alzheimer's disease: Preliminary results

    Directory of Open Access Journals (Sweden)

    Claudia Berlim de Mello

    Full Text Available Abstract Alzheimer's disease (AD is a degenerative brain disorder characterized by progressive losses in cognitive functions, including memory. The sequence of these losses may correspond to the inverse order of the normal sequence of ontogenetic cognitive acquisitions, a process named retrogenesis. One of the acquisitions that improve in normal development is the ability to retrieve previously acquired categorical knowledge from semantic memory in order to guide associative thinking and memory processes; consequently, children become able to associate verbal stimuli in more complex taxonomic ways and to use this knowledge to improve their recall. Objective: In this study, we investigated if AD-related deterioration of semantic memory involves a decrease in categorical thinking processes with progression of the disease, according to the retrogenesis hypothesis. Methods: We compared the performance of AD patients at mild and moderate stages, and of groups of 7, 10 and 14-year-old children in tasks of free association along with recall tasks of perceptually and semantically related stimuli. Results: ANOVAS showed a decrease in taxonomic associations and an increase in diffuse associations between mild and moderate stages, corresponding to the inverse order shown by the child groups. At the moderate AD stage, the pattern was similar to that of 7-year-old children. Both groups of patients performed worse than child groups in recall tasks. Conclusions: These results corroborate the hypothesis of an involution of the processes of categorical associative thinking in the course of the disease.

  4. Interpretable Categorization of Heterogeneous Time Series Data

    Science.gov (United States)

    Lee, Ritchie; Kochenderfer, Mykel J.; Mengshoel, Ole J.; Silbermann, Joshua

    2017-01-01

    We analyze data from simulated aircraft encounters to validate and inform the development of a prototype aircraft collision avoidance system. The high-dimensional and heterogeneous time series dataset is analyzed to discover properties of near mid-air collisions (NMACs) and categorize the NMAC encounters. Domain experts use these properties to better organize and understand NMAC occurrences. Existing solutions either are not capable of handling high-dimensional and heterogeneous time series datasets or do not provide explanations that are interpretable by a domain expert. The latter is critical to the acceptance and deployment of safety-critical systems. To address this gap, we propose grammar-based decision trees along with a learning algorithm. Our approach extends decision trees with a grammar framework for classifying heterogeneous time series data. A context-free grammar is used to derive decision expressions that are interpretable, application-specific, and support heterogeneous data types. In addition to classification, we show how grammar-based decision trees can also be used for categorization, which is a combination of clustering and generating interpretable explanations for each cluster. We apply grammar-based decision trees to a simulated aircraft encounter dataset and evaluate the performance of four variants of our learning algorithm. The best algorithm is used to analyze and categorize near mid-air collisions in the aircraft encounter dataset. We describe each discovered category in detail and discuss its relevance to aircraft collision avoidance.

  5. Categorization of aortic aneurysm thrombus morphology by magnetic resonance imaging

    Energy Technology Data Exchange (ETDEWEB)

    Motte, Louise de la, E-mail: louise.de.la.motte@rh.regionh.dk [Department of Vascular Surgery, Rigshospitalet and University of Copenhagen (Denmark); Pedersen, Mads Møller, E-mail: phd@medit.dk [Department of Radiology, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Thomsen, Carsten, E-mail: carsten.thomsen@rh.regionh.dk [Department of Radiology, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Vogt, Katja, E-mail: Vogt@dadlnet.dk [Department of Vascular Surgery, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Schroeder, Torben V., E-mail: Torben.Veith.schroeder@rh.regionh.dk [Department of Vascular Surgery, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark); Lonn, Lars, E-mail: lonn.lars@gmail.com [Department of Vascular Surgery and Department of Radiology, Rigshospitalet and University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen (Denmark)

    2013-10-01

    Background: Magnetic resonance imaging (MRI) has been proposed for qualitative categorization of intraluminal thrombus morphology. We aimed to correlate the qualitative MRI categorization previously described to quantitative measurements of signal intensity and to compare morphological characteristics of intraluminal thrombus specimens to the appearance on magnetic resonance imaging. Methods: Thirty-four patients undergoing open surgery for abdominal aortic aneurysm had a preoperative MRI obtained with a 1.5 T magnet. Qualitative categorization was performed (blinded and in consensus) and correlated to intraluminal thrombus to muscle signal-intensity ratios. Morphology of intraluminal thrombus specimens collected during surgery were compared to the magnetic resonance imaging categories and specimen weight was correlated to thrombus volume measured on preoperative computer tomography angiography. Results: Blinded MRI categorization resulted in agreement in 22 out of 34 intraluminal thrombi (Kappa value 0.3, p = 0.006). Medians (p = 0.004) and distribution (p = 0.002) of signal-intensity ratios varied significantly across the three MRI categories obtained by consensus. Heterogeneous and homogenous specimen appearance corresponded to similar appearances on MRI in 78% and 55% respectively, resulting in an overall Kappa = 0.4 (p = 0.04). Intraluminal thrombus volume and weight correlated well (r{sub s} 0.831, p < 0.001) with a mean difference of 60 g (95% CI 38–80 g), without proportional bias. Conclusion: Qualitative evaluation of intraluminal thrombus morphology based on MRI can be quantified by measuring signal-intensity ratios. Concurrently a fair agreement to blinded qualitative evaluation of thrombus specimens can be obtained. However, the evaluation is impaired by loss of a large proportion of thrombus during sampling.

  6. EPIC: A Framework for Using Video Games in Ethics Education

    Science.gov (United States)

    Schrier, Karen

    2015-01-01

    Ethics education can potentially be supplemented through the use of video games. This article proposes a novel framework (Ethics Practice and Implementation Categorization [EPIC] Framework), which helps educators choose games to be used for ethics education purposes. The EPIC Framework is derived from a number of classic moral development,…

  7. Video enhancement effectiveness for target detection

    Science.gov (United States)

    Simon, Michael; Fischer, Amber; Petrov, Plamen

    2011-05-01

    Unmanned aerial vehicles (UAVs) capture real-time video data of military targets while keeping the warfighter at a safe distance. This keeps soldiers out of harm's way while they perform intelligence, surveillance and reconnaissance (ISR) and close-air support troops in contact (CAS-TIC) situations. The military also wants to use UAV video to achieve force multiplication. One method of achieving effective force multiplication involves fielding numerous UAVs with cameras and having multiple videos processed simultaneously by a single operator. However, monitoring multiple video streams is difficult for operators when the videos are of low quality. To address this challenge, we researched several promising video enhancement algorithms that focus on improving video quality. In this paper, we discuss our video enhancement suite and provide examples of video enhancement capabilities, focusing on stabilization, dehazing, and denoising. We provide results that show the effects of our enhancement algorithms on target detection and tracking algorithms. These results indicate that there is potential to assist the operator in identifying and tracking relevant targets with aided target recognition even on difficult video, increasing the force multiplier effect of UAVs. This work also forms the basis for human factors research into the effects of enhancement algorithms on ISR missions.

  8. Response actions influence the categorization of directions in auditory space

    Directory of Open Access Journals (Sweden)

    Marcella de Castro Campos Velten

    2015-08-01

    Full Text Available Spatial region concepts such as front, back, left and right reflect our typical interaction with space, and the corresponding surrounding regions have different statuses in memory. We examined the representation of spatial directions in the auditory space, specifically in how far natural response actions, such as orientation movements towards a sound source, would affect the categorization of egocentric auditory space. While standing in the middle of a circle with 16 loudspeakers, participants were presented acoustic stimuli coming from the loudspeakers in randomized order, and verbally described their directions by using the concept labels front, back, left, right, front-right, front-left, back-right and back-left. Response actions varied in three blocked conditions: 1 facing front, 2 turning the head and upper body to face the stimulus, and 3 turning the head and upper body plus pointing with the hand and outstretched arm towards the stimulus. In addition to a protocol of the verbal utterances, motion capture and video recording generated a detailed corpus for subsequent analysis of the participants’ behavior. Chi-square tests revealed an effect of response condition for directions within the left and right sides. We conclude that movement-based response actions influence the representation of auditory space, especially within the sides’ regions.

  9. Coralligenous morphotypes on subhorizontal substrate: A new categorization

    Science.gov (United States)

    Bracchi, Valentina A.; Basso, Daniela; Marchese, Fabio; Corselli, Cesare; Savini, Alessandra

    2017-07-01

    Coralligenous has a relevant role in submarine landscape formation and demise through geological times, producing various morphotypes on the seafloor. Several terms are used to define coralligenous morphotypes, but their application through different geological and environmental settings still remains inconsistent. Through a systematic analysis of seafloor acoustic remote data (multibeam, side scan sonar and subbottom profiler) along Apulia continental shelf, ground-truthed by video observations and direct sampling, we detected a number of coralligenous morpho-acoustic facies as 0.2 up to 4 m topographic reliefs with steep flanks and a rigid inhomogeneous biogenic framework, characterized by medium to strong SSS backscatter and a variable plan-view geometry. The observed pattern led to the identification of coralligenous meso- and macrohabitat in which the biogenic frameworks (i.e. coralligenous) prevail as sole biocommunity on the seafloor or are associated with other type of habitats: (i) coralligenous sensu stricto, (ii) coralligenous and detritic bottom, (iii) coralligenous and muddy bottom, (iv) coralligenous and Posidonia meadow. Finally we improve the geomorphological definition of bank, proposing this new descriptive rigorous categorization for coralligenous morphotypes on sub-horizontal substrate: 1) tabular bank, 2) discrete relief, and 3) hybrid bank.

  10. Categorization and Pathology of Persian Stylistic Researches

    Directory of Open Access Journals (Sweden)

    Maryam Dorpar

    2014-07-01

    Full Text Available  Abstract In following article, surveys and researches about Persian style were categorized in two branches of historical and formalistic styles Mohammad Taghi Bahar founded stylistics as an autonomous knowledge by publishing his book, History of the evolution of Persian prose (1331, for teaching in University of Tehran. This book which has been influenced by verbal instructions of qajar dynasty’s scholars made the way generally has been followed by researchers in Persian stylistics up to now. However, researchers and critics have introduced various theories and approaches during last four decades.  Stagnation in Persian stylistic researches is the main problem which is considered in current article. The main questions are: What branch of stylistics should be the performed Persian stylistic researches? “what are the weak points of surveys” and “what should be done for getting rid of this stagnation?” The main objective of current article is taking steps for removing stagnation from Persian stylistics.  Malek osh-Shoara Bahar used periodization in studying prose styles and analyzed revolution of Persian prose in lexical aspect (obsolete words, Arabic words, synonyms, words repetition, morphological aspect (verbal prefixes, comparative adjective suffixes, syntactic aspect (precedence of verb over its belongings, omission of verbs and rhetorical aspect (simile and allegory, metonymy and metaphor, prolixity and periphrasis, riming prose and harmony. In fact he tried to show both health and strength and laxity and corruption period of prose. We call Bahar stylistics and all researches done in his way historical stylistics with traditional attitude. In this method, styles' consistency and evolution through history have been studied and preiodization of styles has been taken into account. Mentioned researches periodized styles, finding formal similarities and differences. Since, neglecting meaning and text

  11. Categorization and Pathology of Persian Stylistic Researches

    Directory of Open Access Journals (Sweden)

    Maryam Dorpar

    2014-08-01

    Full Text Available Abstract In following article, surveys and researches about Persian style were categorized in two branches of historical and formalistic styles Mohammad Taghi Bahar founded stylistics as an autonomous knowledge by publishing his book, History of the evolution of Persian prose (1331, for teaching in University of Tehran. This book which has been influenced by verbal instructions of qajar dynasty’s scholars made the way generally has been followed by researchers in Persian stylistics up to now. However, researchers and critics have introduced various theories and approaches during last four decades.  Stagnation in Persian stylistic researches is the main problem which is considered in current article. The main questions are: What branch of stylistics should be the performed Persian stylistic researches? “what are the weak points of surveys” and “what should be done for getting rid of this stagnation?” The main objective of current article is taking steps for removing stagnation from Persian stylistics.  Malek osh-Shoara Bahar used periodization in studying prose styles and analyzed revolution of Persian prose in lexical aspect (obsolete words, Arabic words, synonyms, words repetition, morphological aspect (verbal prefixes, comparative adjective suffixes, syntactic aspect (precedence of verb over its belongings, omission of verbs and rhetorical aspect (simile and allegory, metonymy and metaphor, prolixity and periphrasis, riming prose and harmony. In fact he tried to show both health and strength and laxity and corruption period of prose. We call Bahar stylistics and all researches done in his way historical stylistics with traditional attitude. In this method, styles' consistency and evolution through history have been studied and preiodization of styles has been taken into account. Mentioned researches periodized styles, finding formal similarities and differences. Since, neglecting meaning and text functionality they have only paid

  12. Evaluation of the Architect Epstein-Barr Virus (EBV) viral capsid antigen (VCA) IgG, VCA IgM, and EBV nuclear antigen 1 IgG chemiluminescent immunoassays for detection of EBV antibodies and categorization of EBV infection status using immunofluorescence assays as the reference method.

    Science.gov (United States)

    Corrales, Isabel; Giménez, Estela; Navarro, David

    2014-05-01

    Commercial immunoassays for detecting IgG and IgM antibodies against Epstein-Barr virus (EBV), viral capsid antigens (VCA), and IgGs toward EBV nuclear antigen-1 (EBNA-1) are routinely used in combination to categorize EBV infection status. In this study, we evaluated the performances of the Architect EBV VCA IgG, VCA IgM, and EBNA-1 IgG chemiluminescent microparticle assays (CMIAs) in EBV serological analyses using indirect immunofluorescence assays and anticomplement immunofluorescence assays as the reference methods for VCA IgG, VCA IgM, and EBNA-1 IgG antibody detection, respectively. A total of 365 serum samples representing different EBV serological profiles were included in this study. The κ values (concordances between the results) obtained in the Architect CMIA and those in the reference assays were 0.905 (P Architect CMIA panel were, respectively, 99.15% and 98.6% for diagnosing a primary infection, 97.62% and 93.39% for diagnosing a past EBV infection, and 92.42% and 97.82% for diagnosing the absence of an EBV infection. In summary, we demonstrated that the Architect EBV antibody panel performs very well for EBV antibody detection and correctly categorizes clinically relevant EBV infection states.

  13. Exploring the clinical decision-making used by experienced cardiorespiratory physiotherapists: A mixed method qualitative design of simulation, video recording and think aloud techniques.

    Science.gov (United States)

    Thackray, Debbie; Roberts, Lisa

    2017-02-01

    The ability of physiotherapists to make clinical decisions is a vital component of being an autonomous practitioner, yet this complex phenomenon has been under-researched in cardiorespiratory physiotherapy. The purpose of this study was to explore clinical decision-making (CDM) by experienced physiotherapists in a scenario of a simulated patient experiencing acute deterioration of their respiratory function. The main objective of this observational study was to identify the actions, thoughts, and behaviours used by experienced cardiorespiratory physiotherapists in their clinical decision-making processes. A mixed-methods (qualitative) design employing observation and think-aloud, was adopted using a computerised manikin in a simulated environment. The participants clinically assessed the manikin programmed with the same clinical signs, under standardised conditions in the clinical skills practice suite, which was set up as a ward environment. Experienced cardiorespiratory physiotherapists, recruited from clinical practice within a 50-mile radius of the University(*). Participants were video-recorded throughout the assessment and treatment and asked to verbalise their thought processes using the 'think-aloud' method. The recordings were transcribed verbatim and managed using a Framework approach. Eight cardiorespiratory physiotherapists participated (mean 7years clinical experience, range 3.5-16years. CDM was similar to the collaborative hypothetico-deductive model, five-rights nursing model, reasoning strategies, inductive reasoning and pattern recognition. However, the CDM demonstrated by the physiotherapists was complex, interactive and iterative. Information processing occurred continuously throughout the whole interaction with the patient, and the specific cognitive skills of recognition, matching, discriminating, relating, inferring, synthesising and prediction were identified as being used sequentially. The findings from this study were used to develop a new

  14. Roadside video data analysis deep learning

    CERN Document Server

    Verma, Brijesh; Stockwell, David

    2017-01-01

    This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.

  15. Statistical Analysis of Video Frame Size Distribution Originating from Scalable Video Codec (SVC

    Directory of Open Access Journals (Sweden)

    Sima Ahmadpour

    2017-01-01

    Full Text Available Designing an effective and high performance network requires an accurate characterization and modeling of network traffic. The modeling of video frame sizes is normally applied in simulation studies and mathematical analysis and generating streams for testing and compliance purposes. Besides, video traffic assumed as a major source of multimedia traffic in future heterogeneous network. Therefore, the statistical distribution of video data can be used as the inputs for performance modeling of networks. The finding of this paper comprises the theoretical definition of distribution which seems to be relevant to the video trace in terms of its statistical properties and finds the best distribution using both the graphical method and the hypothesis test. The data set used in this article consists of layered video traces generating from Scalable Video Codec (SVC video compression technique of three different movies.

  16. Semi-Supervised Image-to-Video Adaptation for Video Action Recognition.

    Science.gov (United States)

    Zhang, Jianguang; Han, Yahong; Tang, Jinhui; Hu, Qinghua; Jiang, Jianmin

    2017-04-01

    Human action recognition has been well explored in applications of computer vision. Many successful action recognition methods have shown that action knowledge can be effectively learned from motion videos or still images. For the same action, the appropriate action knowledge learned from different types of media, e.g., videos or images, may be related. However, less effort has been made to improve the performance of action recognition in videos by adapting the action knowledge conveyed from images to videos. Most of the existing video action recognition methods suffer from the problem of lacking sufficient labeled training videos. In such cases, over-fitting would be a potential problem and the performance of action recognition is restrained. In this paper, we propose an adaptation method to enhance action recognition in videos by adapting knowledge from images. The adapted knowledge is utilized to learn the correlated action semantics by exploring the common components of both labeled videos and images. Meanwhile, we extend the adaptation method to a semi-supervised framework which can leverage both labeled and unlabeled videos. Thus, the over-fitting can be alleviated and the performance of action recognition is improved. Experiments on public benchmark datasets and real-world datasets show that our method outperforms several other state-of-the-art action recognition methods.

  17. Low complexity video encoding for UAV inspection

    DEFF Research Database (Denmark)

    Søgaard, Jacob; Zhang, Ruo; Forchhammer, Søren

    2016-01-01

    In this work we present several methods for fast integer motion estimation of videos recorded aboard an Unmanned Aerial Vehicle (UAV). Different from related work, the field depth is not considered to be consistent. The novel methods designed for low complexity MV prediction in H.264/AVC and anal......In this work we present several methods for fast integer motion estimation of videos recorded aboard an Unmanned Aerial Vehicle (UAV). Different from related work, the field depth is not considered to be consistent. The novel methods designed for low complexity MV prediction in H.264/AVC...... for UAV infrared (IR) video are also provided....

  18. How to freak a Black & Mild: a multi-study analysis of YouTube videos illustrating cigar product modification.

    Science.gov (United States)

    Nasim, Aashir; Blank, Melissa D; Cobb, Caroline O; Berry, Brittany M; Kennedy, May G; Eissenberg, Thomas

    2014-02-01

    Cigar smoking is increasingly common among adolescents who perceive cigars as less harmful than cigarettes. This perception of reduced harm is especially true for cigars that are user-modified by removing the tobacco binder through a process called 'freaking'. Little is known about 'freaking' and this multi-study, mixed-methods analysis sought to understand better the rationale and prevailing beliefs about this smoking practice using YouTube videos. In Study 1, we conducted a descriptive content analysis on the characteristics of 26 randomly sampled cigar product modification (CPM) videos posted during 2006-10. In Study 2, a thematic analysis was performed on the transcripts of commentary associated with each video to characterize viewers' comments about video content. Study 1 results revealed that 90% of videos illustrated a four-step CPM technique: 'Loosening the tobacco'; 'Dumping the tobacco'; 'Removing the cigar binder' and 'Repacking the tobacco'. Four themes related to the purpose of CPM were also derived from video content: 'Easier to smoke' (54%), 'Beliefs in reduction of health risks' (31%), 'Changing the burn rate' (15%) and 'Taste enhancement' (12%). Study 2 results concerning the content characteristics of video comments were categorized into three themes: 'Disseminating information/answering questions' (81%), 'Seeking advice/asking questions' (69%) and 'Learning cigar modification techniques' (35%). Favorable comments were more common (81%) compared to unfavorable (58%) and comment content suggested low-risk perceptions and poor understanding of smoking harms. These findings highlight a novel means for youth to access information concerning CPM that may have important implications for tobacco control policy and prevention.

  19. Adding Semantics to Detectors for Video Retrieval

    NARCIS (Netherlands)

    Snoek, C.; Huurnink, B.; Hollink, L.; de Rijke, M.; Schreiber, A.T.; Worring, M.

    2007-01-01

    In this paper, we propose an automatic video retrieval method based on high-level concept detectors. Research in video analysis has reached the point where over 100 concept detectors can be learned in a generic fashion, albeit with mixed performance. Such a set of detectors is very small still

  20. Multimodal Emotion Recognition in Response to Videos

    NARCIS (Netherlands)

    Soleymani, Mohammad; Pantic, Maja; Pun, Thierry

    This paper presents a user-independent emotion recognition method with the goal of recovering affective tags for videos using electroencephalogram (EEG), pupillary response and gaze distance. We first selected 20 video clips with extrinsic emotional content from movies and online resources. Then,

  1. 4-H Science Inquiry Video Series

    Science.gov (United States)

    Green, Jeremy W.; Black, Lynette; Willis, Patrick

    2013-01-01

    Studies support science inquiry as a positive method and approach for 4-H professionals and volunteers to use for teaching science-based practices to youth. The development of a science inquiry video series has yielded positive results as it relates to youth development education and science. The video series highlights how to conduct science-rich…

  2. Error Resilient Video Compression Using Behavior Models

    NARCIS (Netherlands)

    Taal, J.R.; Chen, Z.; He, Y.; Lagendijk, R.I.L.

    2004-01-01

    Wireless and Internet video applications are inherently subjected to bit errors and packet errors, respectively. This is especially so if constraints on the end-to-end compression and transmission latencies are imposed. Therefore, it is necessary to develop methods to optimize the video compression

  3. What is a Planet?-Categorizing Objects

    Science.gov (United States)

    Lebofsky, Larry A.

    2009-05-01

    Observing, communicating, comparing, organizing, relating, and inferring are fundamental to scientific thinking processes. Teaching this way, rather than just teaching "the facts,” is also important for developing the critical thinking skills of our future generations of a scientifically literate society. Since the IAU started its discussions on a definition of a planet in 2005, I have been presenting a hands-on activity called "What is a Planet?” at the annual meeting of the DPS. This activity has been designed for short (20 minute) to long (two hour) presentations depending on the venue and the audience. This has been presented to elementary-grade students, middle school students, K-12 teachers, and scientists and educators. Depending on the amount of time available, I show students how people, as well as scientists group or categorize things such as plants and animals, cats and dog, etc. The students are then broken up into groups. Science is usually done by teams of scientists working together, not as individuals working alone. I assess their prior knowledge (how many planets, their names, their properties, etc.). They also do a hands-on group activity where they group/categorize ten spheres by their properties (size, color, etc.). Finally we discuss the process by which the IAU came up with a definition of a planet. I then discuss with them why some scientists, including myself, do not agree with this definition: as with the spheres, there may be more than one "right” answer. There are many ways to look at the properties of objects in the Solar System and group them into planets and other designations. This is the way that science should be done, to look at all of the properties of an object and categorize them in a meaningful way. There may be more than one right answer.

  4. On categorizations in analyses of alcohol teratogenesis.

    Science.gov (United States)

    Sampson, P D; Streissguth, A P; Bookstein, F L; Barr, H M

    2000-06-01

    In biomedical scientific investigations, expositions of findings are conceptually simplest when they comprise comparisons of discrete groups of individuals or involve discrete features or characteristics of individuals. But the descriptive benefits of categorization become outweighed by their limitations in studies involving dose-response relationships, as in many teratogenic and environmental exposure studies. This article addresses a pair of categorization issues concerning the effects of prenatal alcohol exposure that have important public health consequences: the labeling of individuals as fetal alcohol syndrome (FAS) versus fetal alcohol effects (FAE) or alcohol-related neurodevelopmental disorder (ARND), and the categorization of prenatal exposure dose by thresholds. We present data showing that patients with FAS and others with FAE do not have meaningfully different behavioral performance, standardized scores of IQ, arithmetic and adaptive behavior, or secondary disabilities. Similarly overlapping distributions on measures of executive functioning offer a basis for identifying alcohol-affected individuals in a manner that does not simply reflect IQ deficits. At the other end of the teratological continuum, we turn to the reporting of threshold effects in dose-response relationships. Here we illustrate the importance of multivariate analyses using data from the Seattle, Washington, longitudinal prospective study on alcohol and pregnancy. Relationships between many neurobehavioral outcomes and measures of prenatal alcohol exposure are monotone without threshold down to the lowest nonzero levels of exposure, a finding consistent with reports from animal studies. In sum, alcohol effects on the developing human brain appear to be a continuum without threshold when dose and behavioral effects are quantified appropriately.

  5. Equality of opportunity with categorical data

    Directory of Open Access Journals (Sweden)

    Carmen Herrero

    2014-07-01

    Full Text Available This paper refers to some social evaluation problems when equity matters. We propose here a way of assessing the equality of opportunity that is applicable to categorical data. It consists of dividing society into groups with similar characteristics and to measure the dispersion of outcomes within those groups, from the distribution of the population in the different categories. An empirical illustration on the equality of opportunity in education is provided, using the PISA 2012 data on mathematical knowledge regarding the Spanish regions.

  6. MODERN MEDIA LANGUAGE: CATEGORICAL LINGUISTIC FEATURES

    Directory of Open Access Journals (Sweden)

    Aleksandrova, I.B.

    2017-03-01

    Full Text Available The article is devoted to the categorical features of modern media language. It is interactive, dialogical (dialogizated and potentially hypertextual, and has a stylistic diversity. Contemporary journalists’ speech, depending on the social orientation of the publication, differs in its cultural and linguistic features. It has some special characteristics such as polyphony, polycodeness, visualization. Media speech is anthropocentric, reflects the author's worldview, interpretation of events and phenomena, it is directed not to average citizen, but to representatives at least of a particular stratum, the individual. Modern discourse is narrative: a journalist creates his own picture of the world, tells his story about life, which reflects his cognitive, axiological, creative preferences.

  7. Applied categorical and count data analysis

    CERN Document Server

    Tang, Wan; Tu, Xin M

    2012-01-01

    Introduction Discrete Outcomes Data Source Outline of the BookReview of Key Statistical ResultsSoftwareContingency Tables Inference for One-Way Frequency TableInference for 2 x 2 TableInference for 2 x r TablesInference for s x r TableMeasures of AssociationSets of Contingency Tables Confounding Effects Sets of 2 x 2 TablesSets of s x r TablesRegression Models for Categorical Response Logistic Regression for Binary ResponseInference about Model ParametersGoodness of FitGeneralized Linear ModelsRegression Models for Polytomous ResponseRegression Models for Count Response Poisson Regression Mode

  8. Predictive Manufacturing: Classification of categorical data

    DEFF Research Database (Denmark)

    Khan, Abdul Rauf; Schiøler, Henrik; Kulahci, Murat

    2018-01-01

    processes is high volume of information about the process dynamics. In this paper we present a methodology to deal with the categorical data streams from manufacturing processes, with an objective of predicting failures on the last stage of the process. A thorough examination of the behaviour...... and classification capabilities of our methodology (on different experimental settings) is done through a specially designed simulation experiment. Secondly, in order to demonstrate the applicability in a real life problem a data set from electronics component manufacturing is being analysed through our proposed...

  9. Acoustic Neuroma Educational Video

    Medline Plus

    Full Text Available ... support group for me? Find a Group Upcoming Events Video Library Photo Gallery One-on-One Support ... group for me? Find a group Back Upcoming events Video Library Photo Gallery One-on-One Support ...

  10. Video Games and Citizenship

    National Research Council Canada - National Science Library

    Bourgonjon, Jeroen; Soetaert, Ronald

    2013-01-01

    ... by exploring a particular aspect of digitization that affects young people, namely video games. They explore the new social spaces which emerge in video game culture and how these spaces relate to community building and citizenship...

  11. Videos, Podcasts and Livechats

    Medline Plus

    Full Text Available ... Doctor Find a Provider Meet the Team Blog Articles News Resources Links Videos Podcasts Webinars For the ... Doctor Find a Provider Meet the Team Blog Articles News Provider Directory Donate Resources Links Videos Podcasts ...

  12. Videos, Podcasts and Livechats

    Medline Plus

    Full Text Available ... Doctor Find a Provider Meet the Team Blog Articles & Stories News Resources Links Videos Podcasts Webinars For ... Doctor Find a Provider Meet the Team Blog Articles & Stories News Provider Directory Donate Resources Links Videos ...

  13. Digital Video in Research

    DEFF Research Database (Denmark)

    Frølunde, Lisbeth

    2012-01-01

    questions of our media literacy pertaining to authoring multimodal texts (visual, verbal, audial, etc.) in research practice and the status of multimodal texts in academia. The implications of academic video extend to wider issues of how researchers harness opportunities to author different types of texts......Is video becoming “the new black” in academia, if so, what are the challenges? The integration of video in research methodology (for collection, analysis) is well-known, but the use of “academic video” for dissemination is relatively new (Eriksson and Sørensen). The focus of this paper is academic...... video, or short video essays produced for the explicit purpose of communicating research processes, topics, and research-based knowledge (see the journal of academic videos: www.audiovisualthinking.org). Video is increasingly used in popular showcases for video online, such as YouTube and Vimeo, as well...

  14. Acoustic Neuroma Educational Video

    Medline Plus

    Full Text Available ... Back Support Groups Is a support group for me? Find a Group Upcoming Events Video Library Photo ... Support Groups Back Is a support group for me? Find a group Back Upcoming events Video Library ...

  15. Acoustic Neuroma Educational Video

    Medline Plus

    Full Text Available ... group for me? Find a Group Upcoming Events Video Library Photo Gallery One-on-One Support ANetwork ... for me? Find a group Back Upcoming events Video Library Photo Gallery One-on-One Support Back ...

  16. Videos, Podcasts and Livechats

    Medline Plus

    Full Text Available ... the Team Blog Articles & Stories News Resources Links Videos Podcasts Webinars For the Media For Clinicians For ... Family Caregivers Glossary Menu In this section Links Videos Podcasts Webinars For the Media For Clinicians For ...

  17. Videos, Podcasts and Livechats

    Science.gov (United States)

    ... the Team Blog Articles & Stories News Resources Links Videos Podcasts Webinars For the Media For Clinicians For ... Family Caregivers Glossary Menu In this section Links Videos Podcasts Webinars For the Media For Clinicians For ...

  18. Videos, Podcasts and Livechats

    Medline Plus

    Full Text Available ... a Provider Meet the Team Blog Articles & Stories News Resources Links Videos Podcasts Webinars For the Media ... a Provider Meet the Team Blog Articles & Stories News Provider Directory Donate Resources Links Videos Podcasts Webinars ...

  19. Acoustic Neuroma Educational Video

    Medline Plus

    Full Text Available ... for me? Find a Group Upcoming Events Video Library Photo Gallery One-on-One Support ANetwork Peer ... me? Find a group Back Upcoming events Video Library Photo Gallery One-on-One Support Back ANetwork ...

  20. Video Screen Capture Basics

    Science.gov (United States)

    Dunbar, Laura

    2014-01-01

    This article is an introduction to video screen capture. Basic information of two software programs, QuickTime for Mac and BlueBerry Flashback Express for PC, are also discussed. Practical applications for video screen capture are given.

  1. Videos, Podcasts and Livechats

    Medline Plus

    Full Text Available ... News Resources Links Videos Podcasts Webinars For the Media For Clinicians For Policymakers For Family Caregivers Glossary ... this section Links Videos Podcasts Webinars For the Media For Clinicians For Policymakers For Family Caregivers Glossary ...

  2. A comparison of two learning algorithms for text categorization

    Energy Technology Data Exchange (ETDEWEB)

    Lewis, D.D. [AT& T Bell Laboratories, Murray Hill, NJ (United States); Ringuette, M. [Carnegie Mellon Univ., Pittsburgh, PA (United States)

    1994-12-31

    Algorithms for training Bayesian independence classifiers and decision trees were tested on two text categorization data sets. Both algorithms allow adjustable tradeoffs between recall and precision and have similar classification effectiveness. The decision tree method, while slower, produces a classifier that is easier to understand and in one case revealed an unsuspected chronological variation in the category definitions. Maximum effectiveness is reached for both algorithms when the initial set of features is pruned using collection frequency and mutual information. This supports previous suggestions that the stepwise feature selection in decision tree algorithms can be aided by prefiltering the feature set.

  3. Fragile watermarking scheme for H.264 video authentication

    Science.gov (United States)

    Wang, Chuen-Ching; Hsu, Yu-Chang

    2010-02-01

    A novel H.264 advanced video coding fragile watermarking method is proposed that enables the authenticity and integrity of the video streams to be verified. The effectiveness of the proposed scheme is demonstrated by way of experimental simulations. The results show that by embedding the watermark information in the last nonzero-quantized coefficient in each discrete cosine transform block, the proposed scheme induces no more than a minor distortion of the video content. In addition, we show that the proposed scheme is able to detect unauthorized changes in the watermarked video content without the original video. The experimental results demonstrate the feasibility of the proposed video authentication system.

  4. Active video games as a tool to prevent excessive weight gain in adolescents: rationale, design and methods of a randomized controlled trial

    Science.gov (United States)

    2014-01-01

    Background Excessive body weight, low physical activity and excessive sedentary time in youth are major public health concerns. A new generation of video games, the ones that require physical activity to play the games –i.e. active games- may be a promising alternative to traditional non-active games to promote physical activity and reduce sedentary behaviors in youth. The aim of this manuscript is to describe the design of a study evaluating the effects of a family oriented active game intervention, incorporating several motivational elements, on anthropometrics and health behaviors in adolescents. Methods/Design The study is a randomized controlled trial (RCT), with non-active gaming adolescents aged 12 – 16 years old randomly allocated to a ten month intervention (receiving active games, as well as an encouragement to play) or a waiting-list control group (receiving active games after the intervention period). Primary outcomes are adolescents’ measured BMI-SDS (SDS = adjusted for mean standard deviation score), waist circumference-SDS, hip circumference and sum of skinfolds. Secondary outcomes are adolescents’ self-reported time spent playing active and non-active games, other sedentary activities and consumption of sugar-sweetened beverages. In addition, a process evaluation is conducted, assessing the sustainability of the active games, enjoyment, perceived competence, perceived barriers for active game play, game context, injuries from active game play, activity replacement and intention to continue playing the active games. Discussion This is the first adequately powered RCT including normal weight adolescents, evaluating a reasonably long period of provision of and exposure to active games. Next, strong elements are the incorporating motivational elements for active game play and a comprehensive process evaluation. This trial will provide evidence regarding the potential contribution of active games in prevention of excessive weight gain in

  5. Transmission of compressed video

    Science.gov (United States)

    Pasch, H. L.

    1990-09-01

    An overview of video coding is presented. The aim is not to give a technical summary of possible coding techniques, but to address subjects related to video compression in general and to the transmission of compressed video in more detail. Bit rate reduction is in general possible by removing redundant information; removing information the eye does not use anyway; and reducing the quality of the video. The codecs which are used for reducing the bit rate, can be divided into two groups: Constant Bit rate Codecs (CBC's), which keep the bit rate constant, but vary the video quality; and Variable Bit rate Codecs (VBC's), which keep the video quality constant by varying the bit rate. VBC's can be in general reach a higher video quality than CBC's using less bandwidth, but need a transmission system that allows the bandwidth of a connection to fluctuate in time. The current and the next generation of the PSTN does not allow this; ATM might. There are several factors which influence the quality of video: the bit error rate of the transmission channel, slip rate, packet loss rate/packet insertion rate, end-to-end delay, phase shift between voice and video, and bit rate. Based on the bit rate of the coded video, the following classification of coded video can be made: High Definition Television (HDTV); Broadcast Quality Television (BQTV); video conferencing; and video telephony. The properties of these classes are given. The video conferencing and video telephony equipment available now and in the next few years can be divided into three categories: conforming to 1984 CCITT standard for video conferencing; conforming to 1988 CCITT standard; and conforming to no standard.

  6. Making good physics videos

    Science.gov (United States)

    Lincoln, James

    2017-05-01

    Online videos are an increasingly important way technology is contributing to the improvement of physics teaching. Students and teachers have begun to rely on online videos to provide them with content knowledge and instructional strategies. Online audiences are expecting greater production value, and departments are sometimes requesting educators to post video pre-labs or to flip our classrooms. In this article, I share my advice on creating engaging physics videos.

  7. Desktop video conferencing

    OpenAIRE

    Potter, Ray; Roberts, Deborah

    2007-01-01

    This guide aims to provide an introduction to Desktop Video Conferencing. You may be familiar with video conferencing, where participants typically book a designated conference room and communicate with another group in a similar room on another site via a large screen display. Desktop video conferencing (DVC), as the name suggests, allows users to video conference from the comfort of their own office, workplace or home via a desktop/laptop Personal Computer. DVC provides live audio and visua...

  8. 47 CFR 79.3 - Video description of video programming.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 4 2010-10-01 2010-10-01 false Video description of video programming. 79.3... CLOSED CAPTIONING AND VIDEO DESCRIPTION OF VIDEO PROGRAMMING § 79.3 Video description of video programming. (a) Definitions. For purposes of this section the following definitions shall apply: (1...

  9. Video Self-Modeling

    Science.gov (United States)

    Buggey, Tom; Ogle, Lindsey

    2012-01-01

    Video self-modeling (VSM) first appeared on the psychology and education stage in the early 1970s. The practical applications of VSM were limited by lack of access to tools for editing video, which is necessary for almost all self-modeling videos. Thus, VSM remained in the research domain until the advent of camcorders and VCR/DVD players and,…

  10. Tracing Sequential Video Production

    DEFF Research Database (Denmark)

    Otrel-Cass, Kathrin; Khalid, Md. Saifuddin

    2015-01-01

    With an interest in learning that is set in collaborative situations, the data session presents excerpts from video data produced by two of fifteen students from a class of 5th semester techno-anthropology course. Students used video cameras to capture the time they spent working with a scientist...... video, nature of the interactional space, and material and spatial semiotics....

  11. Developing a Promotional Video

    Science.gov (United States)

    Epley, Hannah K.

    2014-01-01

    There is a need for Extension professionals to show clientele the benefits of their program. This article shares how promotional videos are one way of reaching audiences online. An example is given on how a promotional video has been used and developed using iMovie software. Tips are offered for how professionals can create a promotional video and…

  12. Bayesian linkage analysis of categorical traits for arbitrary pedigree designs.

    Directory of Open Access Journals (Sweden)

    Abra Brisbin

    2010-08-01

    Full Text Available Pedigree studies of complex heritable diseases often feature nominal or ordinal phenotypic measurements and missing genetic marker or phenotype data.We have developed a Bayesian method for Linkage analysis of Ordinal and Categorical traits (LOCate that can analyze complex genealogical structure for family groups and incorporate missing data. LOCate uses a Gibbs sampling approach to assess linkage, incorporating a simulated tempering algorithm for fast mixing. While our treatment is Bayesian, we develop a LOD (log of odds score estimator for assessing linkage from Gibbs sampling that is highly accurate for simulated data. LOCate is applicable to linkage analysis for ordinal or nominal traits, a versatility which we demonstrate by analyzing simulated data with a nominal trait, on which LOCate outperforms LOT, an existing method which is designed for ordinal traits. We additionally demonstrate our method's versatility by analyzing a candidate locus (D2S1788 for panic disorder in humans, in a dataset with a large amount of missing data, which LOT was unable to handle.LOCate's accuracy and applicability to both ordinal and nominal traits will prove useful to researchers interested in mapping loci for categorical traits.

  13. Domain learning naming game for color categorization.

    Science.gov (United States)

    Li, Doujie; Fan, Zhongyan; Tang, Wallace K S

    2017-01-01

    Naming game simulates the evolution of vocabulary in a population of agents. Through pairwise interactions in the games, agents acquire a set of vocabulary in their memory for object naming. The existing model confines to a one-to-one mapping between a name and an object. Focus is usually put onto name consensus in the population rather than knowledge learning in agents, and hence simple learning model is usually adopted. However, the cognition system of human being is much more complex and knowledge is usually presented in a complicated form. Therefore, in this work, we extend the agent learning model and design a new game to incorporate domain learning, which is essential for more complicated form of knowledge. In particular, we demonstrate the evolution of color categorization and naming in a population of agents. We incorporate the human perceptive model into the agents and introduce two new concepts, namely subjective perception and subliminal stimulation, in domain learning. Simulation results show that, even without any supervision or pre-requisition, a consensus of a color naming system can be reached in a population solely via the interactions. Our work confirms the importance of society interactions in color categorization, which is a long debate topic in human cognition. Moreover, our work also demonstrates the possibility of cognitive system development in autonomous intelligent agents.

  14. Compact video synopsis via global spatiotemporal optimization.

    Science.gov (United States)

    Nie, Yongwei; Xiao, Chunxia; Sun, Hanqiu; Li, Ping

    2013-10-01

    Video synopsis aims at providing condensed representations of video data sets that can be easily captured from digital cameras nowadays, especially for daily surveillance videos. Previous work in video synopsis usually moves active objects along the time axis, which inevitably causes collisions among the moving objects if compressed much. In this paper, we propose a novel approach for compact video synopsis using a unified spatiotemporal optimization. Our approach globally shifts moving objects in both spatial and temporal domains, which shifting objects temporally to reduce the length of the video and shifting colliding objects spatially to avoid visible collision artifacts. Furthermore, using a multilevel patch relocation (MPR) method, the moving space of the original video is expanded into a compact background based on environmental content to fit with the shifted objects. The shifted objects are finally composited with the expanded moving space to obtain the high-quality video synopsis, which is more condensed while remaining free of collision artifacts. Our experimental results have shown that the compact video synopsis we produced can be browsed quickly, preserves relative spatiotemporal relationships, and avoids motion collisions.

  15. Full-frame video stabilization with motion inpainting.

    Science.gov (United States)

    Matsushita, Yasuyuki; Ofek, Eyal; Ge, Weina; Tang, Xiaoou; Shum, Heung-Yeung

    2006-07-01

    Video stabilization is an important video enhancement technology which aims at removing annoying shaky motion from videos. We propose a practical and robust approach of video stabilization that produces full-frame stabilized videos with good visual quality. While most previous methods end up with producing smaller size stabilized videos, our completion method can produce full-frame videos by naturally filling in missing image parts by locally aligning image data of neighboring frames. To achieve this, motion inpainting is proposed to enforce spatial and temporal consistency of the completion in both static and dynamic image areas. In addition, image quality in the stabilized video is enhanced with a new practical deblurring algorithm. Instead of estimating point spread functions, our method transfers and interpolates sharper image pixels of neighboring frames to increase the sharpness of the frame. The proposed video completion and deblurring methods enabled us to develop a complete video stabilizer which can naturally keep the original image quality in the stabilized videos. The effectiveness of our method is confirmed by extensive experiments over a wide variety of videos.

  16. Genre Categorization in Contemporary British and US-American Novels

    National Research Council Canada - National Science Library

    Ceia, Carlos

    2016-01-01

    In his article "Genre Categorization in Contemporary British and US-American Novels" Carlos Ceia discusses a certain type of resistance to genre categorization in many novels in contemporary literature...

  17. Performance Analysis of Video PHY Controller Using Unidirection and Bi-directional IO Standard via 7 Series FPGA

    DEFF Research Database (Denmark)

    Das, Bhagwan; Abdullah, M F L; Hussain, Dil muhammed Akbar

    2017-01-01

    The Video PHY controller offers an interface between transmitters/receivers and video ports. These video ports are categorized in HDMI or Displayport. HDMI Video PHY controller are mostly used for their high speed operation for high resolution graphics. However, the execution of high resolution...... graphics consumes more power, this creates a need of designing the low power design for Video PHY controller. In this paper, the performance of Video PHY controller is analyzed by comparing the power consumption of unidirectional and bi-directional IO Standard over 7 series FPGA. It is determined...... that total on-chip power is reduced for unidirectional IO Standard based Video PHY controller compared to bidirectional IO Standard based Video PHY controller. The most significant achievement of this work is that it is concluded that unidirectional IO Standard based Video PHY controller consume least...

  18. Advanced video coding systems

    CERN Document Server

    Gao, Wen

    2015-01-01

    This comprehensive and accessible text/reference presents an overview of the state of the art in video coding technology. Specifically, the book introduces the tools of the AVS2 standard, describing how AVS2 can help to achieve a significant improvement in coding efficiency for future video networks and applications by incorporating smarter coding tools such as scene video coding. Topics and features: introduces the basic concepts in video coding, and presents a short history of video coding technology and standards; reviews the coding framework, main coding tools, and syntax structure of AV

  19. Intelligent video surveillance systems

    CERN Document Server

    Dufour, Jean-Yves

    2012-01-01

    Belonging to the wider academic field of computer vision, video analytics has aroused a phenomenal surge of interest since the current millennium. Video analytics is intended to solve the problem of the incapability of exploiting video streams in real time for the purpose of detection or anticipation. It involves analyzing the videos using algorithms that detect and track objects of interest over time and that indicate the presence of events or suspect behavior involving these objects.The aims of this book are to highlight the operational attempts of video analytics, to identify possi

  20. VBR video traffic models

    CERN Document Server

    Tanwir, Savera

    2014-01-01

    There has been a phenomenal growth in video applications over the past few years. An accurate traffic model of Variable Bit Rate (VBR) video is necessary for performance evaluation of a network design and for generating synthetic traffic that can be used for benchmarking a network. A large number of models for VBR video traffic have been proposed in the literature for different types of video in the past 20 years. Here, the authors have classified and surveyed these models and have also evaluated the models for H.264 AVC and MVC encoded video and discussed their findings.

  1. Games people play: How video games improve probabilistic learning.

    Science.gov (United States)

    Schenk, Sabrina; Lech, Robert K; Suchan, Boris

    2017-09-29

    Recent research suggests that video game playing is associated with many cognitive benefits. However, little is known about the neural mechanisms mediating such effects, especially with regard to probabilistic categorization learning, which is a widely unexplored area in gaming research. Therefore, the present study aimed to investigate the neural correlates of probabilistic classification learning in video gamers in comparison to non-gamers. Subjects were scanned in a 3T magnetic resonance imaging (MRI) scanner while performing a modified version of the weather prediction task. Behavioral data yielded evidence for better categorization performance of video gamers, particularly under conditions characterized by stronger uncertainty. Furthermore, a post-experimental questionnaire showed that video gamers had acquired higher declarative knowledge about the card combinations and the related weather outcomes. Functional imaging data revealed for video gamers stronger activation clusters in the hippocampus, the precuneus, the cingulate gyrus and the middle temporal gyrus as well as in occipital visual areas and in areas related to attentional processes. All these areas are connected with each other and represent critical nodes for semantic memory, visual imagery and cognitive control. Apart from this, and in line with previous studies, both groups showed activation in brain areas that are related to attention and executive functions as well as in the basal ganglia and in memory-associated regions of the medial temporal lobe. These results suggest that playing video games might enhance the usage of declarative knowledge as well as hippocampal involvement and enhances overall learning performance during probabilistic learning. In contrast to non-gamers, video gamers showed better categorization performance, independently of the uncertainty of the condition. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. Active video games as a tool to prevent excessive weight gain in adolescents: rationale, design and methods of a randomized controlled trial

    NARCIS (Netherlands)

    Simons, M.; Chinapaw, M.J.M.; Bovenkamp, van de M.; Boer, de M.R.; Seidell, J.C.; Brug, J.; Vet, de E.

    2014-01-01

    Background Excessive body weight, low physical activity and excessive sedentary time in youth are major public health concerns. A new generation of video games, the ones that require physical activity to play the games –i.e. active games- may be a promising alternative to traditional non-active

  3. Active video games as a tool to prevent excessive weight gain in adolescents : rationale, design and methods of a randomized controlled trial

    NARCIS (Netherlands)

    Simons, Monique; Chinapaw, Mai J M; van de Bovenkamp, Maaike; de Boer, Michiel R; Seidell, Jacob C; Brug, Johannes; de Vet, Emely

    2014-01-01

    BACKGROUND: Excessive body weight, low physical activity and excessive sedentary time in youth are major public health concerns. A new generation of video games, the ones that require physical activity to play the games--i.e. active games--may be a promising alternative to traditional non-active

  4. Pregnancy Prevention at Her Fingertips: A Text- and Mobile Video-Based Pilot Intervention to Promote Contraceptive Methods among College Women

    Science.gov (United States)

    Walsh-Buhi, Eric R.; Helmy, Hannah; Harsch, Kristin; Rella, Natalie; Godcharles, Cheryl; Ogunrunde, Adejoke; Lopez Castillo, Humberto

    2016-01-01

    Objective: This paper reports on a pilot study evaluating the feasibility and acceptability of a text- and mobile video-based intervention to educate women and men attending college about non-daily contraception, with a particular focus on long-acting reversible contraception (LARC). A secondary objective is to describe the process of intervention…

  5. How College Students' Conceptions of Newton's Second and Third Laws Change through Watching Interactive Video Vignettes: A Mixed Methods Study

    Science.gov (United States)

    Engelman, Jonathan

    2016-01-01

    Changing student conceptions in physics is a difficult process and has been a topic of research for many years. The purpose of this study was to understand what prompted students to change or not change their incorrect conceptions of Newtons Second or Third Laws in response to an intervention, Interactive Video Vignettes (IVVs), designed to…

  6. Active video games as a tool to prevent excessive weight gain in adolescents: Rationale, design and methods of a randomized controlled trial

    NARCIS (Netherlands)

    Simons, M.; Chinapaw, M.J.; Bovenkamp, M. van de; Boer, M.R. de; Seidell, J.C.; Brug, J.; Vet, E. de

    2014-01-01

    Background: Excessive body weight, low physical activity and excessive sedentary time in youth are major public health concerns. A new generation of video games, the ones that require physical activity to play the games -i.e. active games- may be a promising alternative to traditional non-active

  7. Categorization of Quantum Mechanics Problems by Professors and Students

    Science.gov (United States)

    Lin, Shih-Yin; Singh, Chandralekha

    2010-01-01

    We discuss the categorization of 20 quantum mechanics problems by physics professors and undergraduate students from two honours-level quantum mechanics courses. Professors and students were asked to categorize the problems based upon similarity of solution. We also had individual discussions with professors who categorized the problems. Faculty…

  8. 75 FR 7368 - Closed Captioning of Video Programming

    Science.gov (United States)

    2010-02-19

    ... COMMISSION 47 CFR Part 79 Closed Captioning of Video Programming AGENCY: Federal Communications Commission... another method by which video programming distributors may provide contact information to the Commission... document FCC 09-109, Closed Captioning of Video Programming, CG Docket No. 05-231, Order, adopted December...

  9. [Video consultation in general practice: need and feasibility

    NARCIS (Netherlands)

    Schers, H.J.; Buitenhuis, E.; Besemer, Y.

    2014-01-01

    OBJECTIVE: To study whether patients require video consultations in general practice and whether or not video consultation is feasible. DESIGN: Semi-structured interviews and a pilot study in practice. METHOD: We interviewed 25 visitors to the general practice on their views on video consultations

  10. Tech Tips: Using Video Management/ Analysis Technology in Qualitative Research

    Directory of Open Access Journals (Sweden)

    J.A. Spiers

    2004-03-01

    Full Text Available This article presents tips on how to use video in qualitative research. The author states that, though there many complex and powerful computer programs for working with video, the work done in qualitative research does not require those programs. For this work, simple editing software is sufficient. Also presented is an easy and efficient method of transcribing video clips.

  11. Motivation and Learning Engagement through Playing Math Video Games

    Science.gov (United States)

    Barreto, Daisyane; Vasconcelos, Lucas; Orey, Michael

    2017-01-01

    Purpose: With video games being a source of leisure and learning, educators and researchers alike are interested in understanding children's motivation for playing video games as a way to learn. This study explores student motivation and engagement levels in playing two math video games in the game "Club Penguin." Method: This is a…

  12. Tech Tips: Using Video Management/ Analysis Technology in Qualitative Research

    OpenAIRE

    J.A. Spiers

    2004-01-01

    This article presents tips on how to use video in qualitative research. The author states that, though there many complex and powerful computer programs for working with video, the work done in qualitative research does not require those programs. For this work, simple editing software is sufficient. Also presented is an easy and efficient method of transcribing video clips.

  13. A Comparison of Video Formats for Online Teaching

    Science.gov (United States)

    Malaga, Ross A.; Koppel, Nicole B.

    2017-01-01

    The use of video to deliver content to students online has become increasingly popular. However, educators are often plagued with the question of which format to use to deliver asynchronous video material. Whether it is a College or University committing to a common video format or an individual instructor selecting the method that works best for…

  14. Constrained Multi-View Video Face Clustering.

    Science.gov (United States)

    Cao, Xiaochun; Zhang, Changqing; Zhou, Chengju; Fu, Huazhu; Foroosh, Hassan

    2015-11-01

    In this paper, we focus on face clustering in videos. To promote the performance of video clustering by multiple intrinsic cues, i.e., pairwise constraints and multiple views, we propose a constrained multi-view video face clustering method under a unified graph-based model. First, unlike most existing video face clustering methods which only employ these constraints in the clustering step, we strengthen the pairwise constraints through the whole video face clustering framework, both in sparse subspace representation and spectral clustering. In the constrained sparse subspace representation, the sparse representation is forced to explore unknown relationships. In the constrained spectral clustering, the constraints are used to guide for learning more reasonable new representations. Second, our method considers both the video face pairwise constraints as well as the multi-view consistence simultaneously. In particular, the graph regularization enforces the pairwise constraints to be respected and the co-regularization penalizes the disagreement among different graphs of multiple views. Experiments on three real-world video benchmark data sets demonstrate the significant improvements of our method over the state-of-the-art methods.

  15. Flip Video for Dummies

    CERN Document Server

    Hutsko, Joe

    2010-01-01

    The full-color guide to shooting great video with the Flip Video camera. The inexpensive Flip Video camera is currently one of the hottest must-have gadgets. It's portable and connects easily to any computer to transfer video you shoot onto your PC or Mac. Although the Flip Video camera comes with a quick-start guide, it lacks a how-to manual, and this full-color book fills that void! Packed with full-color screen shots throughout, Flip Video For Dummies shows you how to shoot the best possible footage in a variety of situations. You'll learn how to transfer video to your computer and then edi

  16. A tailored video intervention to reduce smoking and environmental tobacco exposure during and after pregnancy: Rationale, design and methods of Baby's Breath.

    Science.gov (United States)

    Risica, Patricia Markham; Gavarkovs, Adam; Parker, Donna R; Jennings, Ernestine; Phipps, Maureen

    2017-01-01

    Low-cost interventions to decrease environmental tobacco smoke (ETS) exposure of pregnant women and their newborns are needed to lower health risks of exposed fetuses and infants. Baby's Breath is a tailored video intervention developed and tested in a randomized controlled trial. The study aimed to test the efficacy of tailored video versus usual care approaches to reduce the ETS exposure of fetuses of low-income women during and after pregnancy; and to assess this intervention separately among non-smoking and smoking women. Participating women, recruited early in pregnancy, who spoke English, were at least 18years old, smoke exposed (current smokers, quit smoking on their own, or were exposed to smoke of others), pregnant with only one baby, and had access to a telephone and video player, were randomized to experimental or control conditions. Intervention participants received newsletters containing content aimed at smoking cessation and avoidance (5 during and 3 after pregnancy), in addition to videos (3 during and 2 after pregnancy) individually tailored on behavioral theory-based survey questions. Comparison participants received newsletters and videos on healthy pregnancy topics. Outcomes included salivary cotinine of both mother and baby (32weeks gestation and 6months postpartum) as well as self-reported ETS exposure and avoidance behaviors. This study may demonstrate the efficacy of a low-cost intervention to decrease ETS exposure, and will fill an important gap in describing the utility of this innovative intervention technology, as well as demonstration of potential benefits to this type of intervention. Copyright © 2016. Published by Elsevier Inc.

  17. Gaze categorization under uncertainty: psychophysics and modeling.

    Science.gov (United States)

    Mareschal, Isabelle; Calder, Andrew J; Dadds, Mark R; Clifford, Colin W G

    2013-04-22

    The accurate perception of another person's gaze direction underlies most social interactions and provides important information about his or her future intentions. As a first step to measuring gaze perception, most experiments determine the range of gaze directions that observers judge as being direct: the cone of direct gaze. This measurement has revealed the flexibility of observers' perception of gaze and provides a useful benchmark against which to test clinical populations with abnormal gaze behavior. Here, we manipulated effective signal strength by adding noise to the eyes of synthetic face stimuli or removing face information. We sought to move beyond a descriptive account of gaze categorization by fitting a model to the data that relies on changing the uncertainty associated with an estimate of gaze direction as a function of the signal strength. This model accounts for all the data and provides useful insight into the visual processes underlying normal gaze perception.

  18. Categorization in neural networks and prosopagnosia

    Science.gov (United States)

    Virasoro, M. A.

    1989-12-01

    Prosopagnosia is a syndrome characterized by a generalized difficulty to visually recognize individual patterns among those that are similar, and can therefore be said to belong to the same category. I suggest that the existence of this disfunction may be an important clue for understanding the categorization process in the brain. In this direction the performance of neural networks under random destruction of synapses is analysed. It is found that in almost every network that stores correlated patterns the coding of the discriminating details between individuals inside a class is more sensitive to noise or to random destruction than the coding that distinguishes between classes. It follows that a process of death and/or deterioration at an intermediate level of intensity, even if it acts randomly on the network may lead to a malfunctioning of the network that resembles prosopagnosia.

  19. Sexuality Education in Video Games: Recommendations for the Use of Video Games to Teach Human Sexuality Issues

    Science.gov (United States)

    Gross, M. Scott

    2005-01-01

    This article provides a review of some of the currently available literature surrounding the academic study of video games. Many of these theoretical methods have been used to study film and television and are discussed here in order to frame the need for further examination of video games. Suggestions for the use of video games in the classroom…

  20. A Novel Quantum Video Steganography Protocol with Large Payload Based on MCQI Quantum Video

    Science.gov (United States)

    Qu, Zhiguo; Chen, Siyi; Ji, Sai

    2017-11-01

    As one of important multimedia forms in quantum network, quantum video attracts more and more attention of experts and scholars in the world. A secure quantum video steganography protocol with large payload based on the video strip encoding method called as MCQI (Multi-Channel Quantum Images) is proposed in this paper. The new protocol randomly embeds the secret information with the form of quantum video into quantum carrier video on the basis of unique features of video frames. It exploits to embed quantum video as secret information for covert communication. As a result, its capacity are greatly expanded compared with the previous quantum steganography achievements. Meanwhile, the new protocol also achieves good security and imperceptibility by virtue of the randomization of embedding positions and efficient use of redundant frames. Furthermore, the receiver enables to extract secret information from stego video without retaining the original carrier video, and restore the original quantum video as a follow. The simulation and experiment results prove that the algorithm not only has good imperceptibility, high security, but also has large payload.

  1. Categorical information for assessments of land use change. Opportunities and challenges

    DEFF Research Database (Denmark)

    Levin, Gregor

    2014-01-01

    Access to detailed categorical information on land use and land cover (LULC) has increased significantly during recent years. In Denmark, free access to most categorical information (i.e. pre-classified spatially explicit information) gives opportunities for assessments and analyses of LULC......-changes with a spatial accuracy and classification detail and a temporal resolution, exceeding assessments based on remotely sensed or statistical data (Jepsen and Levin, 2013). However, applying detailed categorical information induces new challenges, primarily related to the fact that these data are usually...... and recommendations: 1) For a comprehensive and consistent categorisation of LULC, definitions and registration methods applied in pre-classified information must be examined critically. 2) Especially for assessments of annual changes, unsynchronised spatial demarcation of categorical data results in unrealistically...

  2. Categorizing Pedagogical Patterns by Teaching Activities and Pedagogical Value

    DEFF Research Database (Denmark)

    Eriksen, Ole

    2006-01-01

    The main contribution of this paper is a proposal for a universal pedagogical pattern categorization based on teaching values and activities. This categorization would be more sustainable than the arbitrary categorization implied by pedagogical pattern language themes. Pedagogical patterns from two......-based categorization, we have combined it with a categorization based on teaching activities. The catalogue could be seen as a tool for combining pedagogical theories and patterns and it is a proposal for a solution to the problem of organizing pedagogical patterns....

  3. A system for endobronchial video analysis

    Science.gov (United States)

    Byrnes, Patrick D.; Higgins, William E.

    2017-03-01

    Image-guided bronchoscopy is a critical component in the treatment of lung cancer and other pulmonary disorders. During bronchoscopy, a high-resolution endobronchial video stream facilitates guidance through the lungs and allows for visual inspection of a patient's airway mucosal surfaces. Despite the detailed information it contains, little effort has been made to incorporate recorded video into the clinical workflow. Follow-up procedures often required in cancer assessment or asthma treatment could significantly benefit from effectively parsed and summarized video. Tracking diagnostic regions of interest (ROIs) could potentially better equip physicians to detect early airway-wall cancer or improve asthma treatments, such as bronchial thermoplasty. To address this need, we have developed a system for the postoperative analysis of recorded endobronchial video. The system first parses an input video stream into endoscopic shots, derives motion information, and selects salient representative key frames. Next, a semi-automatic method for CT-video registration creates data linkages between a CT-derived airway-tree model and the input video. These data linkages then enable the construction of a CT-video chest model comprised of a bronchoscopy path history (BPH) - defining all airway locations visited during a procedure - and texture-mapping information for rendering registered video frames onto the airwaytree model. A suite of analysis tools is included to visualize and manipulate the extracted data. Video browsing and retrieval is facilitated through a video table of contents (TOC) and a search query interface. The system provides a variety of operational modes and additional functionality, including the ability to define regions of interest. We demonstrate the potential of our system using two human case study examples.

  4. No-Reference Video Quality Assessment by HEVC Codec Analysis

    DEFF Research Database (Denmark)

    Huang, Xin; Søgaard, Jacob; Forchhammer, Søren

    2015-01-01

    the transform coefficients, estimates the distortion, and assesses the video quality. The proposed scheme generates VQA features based on Intra coded frames, and then maps features using an Elastic Net to predict subjective video quality. A set of HEVC coded 4K UHD sequences are tested. Results show......This paper proposes a No-Reference (NR) Video Quality Assessment (VQA) method for videos subject to the distortion given by High Efficiency Video Coding (HEVC). The proposed assessment can be performed either as a BitstreamBased (BB) method or as a Pixel-Based (PB). It extracts or estimates...

  5. Categorization of Quantum Mechanics Problems by Professors and Students

    CERN Document Server

    Lin, Shih-Yin

    2016-01-01

    We discuss the categorization of 20 quantum mechanics problems by physics professors and undergraduate students from two honors-level quantum mechanics courses. Professors and students were asked to categorize the problems based upon similarity of solution. We also had individual discussions with professors who categorized the problems. Faculty members' categorizations were overall rated higher than those of students by three faculty members who evaluated all of the categorizations. The categories created by faculty members were more diverse compared to the categories they created for a set of introductory mechanics problems. Some faculty members noted that the categorization of introductory physics problems often involves identifying fundamental principles relevant for the problem, whereas in upper-level undergraduate quantum mechanics problems, it mainly involves identifying concepts and procedures required to solve the problem. Moreover, physics faculty members who evaluated others' categorizations express...

  6. Temporal compressive imaging for video

    Science.gov (United States)

    Zhou, Qun; Zhang, Linxia; Ke, Jun

    2018-01-01

    In many situations, imagers are required to have higher imaging speed, such as gunpowder blasting analysis and observing high-speed biology phenomena. However, measuring high-speed video is a challenge to camera design, especially, in infrared spectrum. In this paper, we reconstruct a high-frame-rate video from compressive video measurements using temporal compressive imaging (TCI) with a temporal compression ratio T=8. This means that, 8 unique high-speed temporal frames will be obtained from a single compressive frame using a reconstruction algorithm. Equivalently, the video frame rates is increased by 8 times. Two methods, two-step iterative shrinkage/threshold (TwIST) algorithm and the Gaussian mixture model (GMM) method, are used for reconstruction. To reduce reconstruction time and memory usage, each frame of size 256×256 is divided into patches of size 8×8. The influence of different coded mask to reconstruction is discussed. The reconstruction qualities using TwIST and GMM are also compared.

  7. Video surveillance using JPEG 2000

    Science.gov (United States)

    Dufaux, Frederic; Ebrahimi, Touradj

    2004-11-01

    This paper describes a video surveillance system which is composed of three key components, smart cameras, a server, and clients, connected through IP-networks in wired or wireless configurations. The system has been designed so as to protect the privacy of people under surveillance. Smart cameras are based on JPEG 2000 compression where an analysis module allows for events detection and regions of interest identification. The resulting regions of interest can then be encoded with better quality and scrambled. Compressed video streams are scrambled and signed for the purpose of privacy and data integrity verification using JPSEC compliant methods. The same bitstream may also be protected for robustness to transmission errors based on JPWL compliant methods. The server receives, stores, manages and transmits the video sequences on wired and wireless channels to a variety of clients and users with different device capabilities, channel characteristics and preferences. Use of seamless scalable coding of video sequences prevents any need for transcoding operations at any point in the system.

  8. Defocus cue and saliency preserving video compression

    Science.gov (United States)

    Khanna, Meera Thapar; Chaudhury, Santanu; Lall, Brejesh

    2016-11-01

    There are monocular depth cues present in images or videos that aid in depth perception in two-dimensional images or videos. Our objective is to preserve the defocus depth cue present in the videos along with the salient regions during compression application. A method is provided for opportunistic bit allocation during the video compression using visual saliency information comprising both the image features, such as color and contrast, and the defocus-based depth cue. The method is divided into two steps: saliency computation followed by compression. A nonlinear method is used to combine pure and defocus saliency maps to form the final saliency map. Then quantization values are assigned on the basis of these saliency values over a frame. The experimental results show that the proposed scheme yields good results over standard H.264 compression as well as pure and defocus saliency methods.

  9. Error Resilient Video Compression Using Behavior Models

    Directory of Open Access Journals (Sweden)

    Jacco R. Taal

    2004-03-01

    Full Text Available Wireless and Internet video applications are inherently subjected to bit errors and packet errors, respectively. This is especially so if constraints on the end-to-end compression and transmission latencies are imposed. Therefore, it is necessary to develop methods to optimize the video compression parameters and the rate allocation of these applications that take into account residual channel bit errors. In this paper, we study the behavior of a predictive (interframe video encoder and model the encoders behavior using only the statistics of the original input data and of the underlying channel prone to bit errors. The resulting data-driven behavior models are then used to carry out group-of-pictures partitioning and to control the rate of the video encoder in such a way that the overall quality of the decoded video with compression and channel errors is optimized.

  10. Multivariate cumulative probit for age estimation using ordinal categorical data.

    Science.gov (United States)

    Konigsberg, Lyle W

    2015-01-01

    Multivariate ordinal categorical data have figured prominently in the age estimation literature. Unfortunately, the osteological and dental age estimation literature is often disconnected from the statistical literature that provides the underpinnings for rationale analyses. The aim of the study is to provide an analytical basis for age estimation using multiple ordinal categorical traits. Data on ectocranial suture closure from 1152 individuals are analysed in a multivariate cumulative probit model fit using a Markov Chain Monte Carlo (MCMC) method. Twenty-six parameters in a five variable analysis are estimated, including the 10 unique elements of the five × five correlation matrix. The correlation matrix differs substantially from the identity matrix one would assume under conditional independence among the sutures. While the assumption of conditional independence between traits greatly simplifies the use of parametric models in age estimation, this assumption is not a necessary step. Further, in the analysis discussed here there are considerable residual correlations between ectocranial suture closure scores even after 'regressing out' the effect of age.

  11. Statistical, biological, and categorical sensor fusion: an integrated methodology

    Science.gov (United States)

    Bonick, James; Marshall, Christopher

    2008-04-01

    In this paper, we investigate sensor fusion along three avenues: statistical, biological, and categorical. The first two approaches are analyzed simultaneously to provide a precise and rigorous sensor fusion methodology. The statistical model currently enhances Bayesian methods for tracking, and suggests further application to target identification and fusion - involving both low level feature extraction and higher level sensor output combination. The biological model is also applied to multiple levels of the fusion problem. On the lowest level, it utilizes biologically-inspired results for improved feature extraction. On the higher levels, it develops biologically-inspired evolutionary and agency algorithms for sensor output combination and sensor network analysis. Ultimately, we model the entire fusion process with category theory. Category theory allows for the application of advanced mathematical theory to fusion analysis. In addition to using category theory as a modeling tool, in this paper we adapt categorical logic via topos theory to provide an advanced framework for decision fusion - initially using the topos of graphs. Graphs are a simpler representation. We suggest formulations which will be richer - toward the goal of a theoretically robust and computationally practical sensor fusion system for assisted/automatic target recognition.

  12. The Effect of Concurrent Semantic Categorization on Delayed Serial Recall

    Science.gov (United States)

    Acheson, Daniel J.; MacDonald, Maryellen C.; Postle, Bradley R.

    2010-01-01

    The influence of semantic processing on the serial ordering of items in short-term memory was explored using a novel dual-task paradigm. Subjects engaged in two picture judgment tasks while simultaneously performing delayed serial recall. List material varied in the presence of phonological overlap (Experiments 1 and 2) and in semantic content (concrete words in Experiment 1 and 3; nonwords in Experiments 2 and 3). Picture judgments varied in the extent to which they required accessing visual semantic information (i.e., semantic categorization and line orientation judgments). Results showed that, relative to line orientation judgments, engaging in semantic categorization judgments increased the proportion of item ordering errors for concrete lists but did not affect error proportions for nonword lists. Furthermore, although more ordering errors were observed for phonologically similar relative to dissimilar lists, no interactions were observed between the phonological overlap and picture judgment task manipulations. These results thus demonstrate that lexical-semantic representations can affect the serial ordering of items in short-term memory. Furthermore, the dual-task paradigm provides a new method for examining when and how semantic representations affect memory performance. PMID:21058880

  13. Emotion categorization using affective-pLSA model

    Science.gov (United States)

    Liu, Shuoyan; Xu, De; Feng, Songhe

    2010-12-01

    Emotion categorization of natural scene images represents a very useful task for automatic image analysis systems. Psychological experiments have shown that visual information at the emotion level is aggregated according to a set of rules. Hence, we attempt to discover the emotion descriptors based on the composition of visual word representation. First, the composition of visual word representation models each image as a matrix, where elements record the correlations of pairwise visual words. In this way, an image collection is modeled as a third-order tensor. Then we discover the emotion descriptors using a novel affective-probabilistic latent semantic analysis (affective-pLSA) model, which is an extension of the pLSA model, on this tensor representation. Considering that the natural scene image may evoke multiple emotional feelings, emotion categorization is carried out using the multilabel k-nearest-neighbor approach based on emotion descriptors. The proposed approach has been tested on the International Affective Picture System and a collection of social images from the Flickr website. The experimental results have demonstrated the effectiveness of the proposed method for eliciting image emotions.

  14. Performance optimization for pedestrian detection on degraded video using natural scene statistics

    Science.gov (United States)

    Winterlich, Anthony; Denny, Patrick; Kilmartin, Liam; Glavin, Martin; Jones, Edward

    2014-11-01

    We evaluate the effects of transmission artifacts such as JPEG compression and additive white Gaussian noise on the performance of a state-of-the-art pedestrian detection algorithm, which is based on integral channel features. Integral channel features combine the diversity of information obtained from multiple image channels with the computational efficiency of the Viola and Jones detection framework. We utilize "quality aware" spatial image statistics to blindly categorize distorted video frames by distortion type and level without the use of an explicit reference. We combine quality statistics with a multiclassifier detection framework for optimal pedestrian detection performance across varying image quality. Our detection method provides statistically significant improvements over current approaches based on single classifiers, on two large pedestrian databases containing a wide variety of artificially added distortion. The improvement in detection performance is further demonstrated on real video data captured from multiple cameras containing varying levels of sensor noise and compression. The results of our research have the potential to be used in real-time in-vehicle networks to improve pedestrian detection performance across a wide range of image and video quality.

  15. Color spaces in digital video

    Energy Technology Data Exchange (ETDEWEB)

    Gaunt, R.

    1997-05-01

    Whether it`s photography, computer graphics, publishing, or video; each medium has a defined color space, or gamut, which defines the extent that a given set of RGB colors can be mixed. When converting from one medium to another, an image must go through some form of conversion which maps colors into the destination color space. The conversion process isn`t always straight forward, easy, or reversible. In video, two common analog composite color spaces are Y`tjv (used in PAL) and Y`IQ (used in NTSC). These two color spaces have been around since the beginning of color television, and are primarily used in video transmission. Another analog scheme used in broadcast studios is Y`, R`-Y`, B`-Y` (used in Betacam and Mll) which is a component format. Y`, R`-Y`,B`-Y` maintains the color information of RGB but in less space. From this, the digital component video specification, ITU-Rec. 601-4 (formerly CCIR Rec. 601) was based. The color space for Rec. 601 is symbolized as Y`CbCr. Digital video formats such as DV, Dl, Digital-S, etc., use Rec. 601 to define their color gamut. Digital composite video (for D2 tape) is digitized analog Y`UV and is seeing decreased use. Because so much information is contained in video, segments of any significant length usually require some form of data compression. All of the above mentioned analog video formats are a means of reducing the bandwidth of RGB video. Video bulk storage devices, such as digital disk recorders, usually store frames in Y`CbCr format, even if no other compression method is used. Computer graphics and computer animations originate in RGB format because RGB must be used to calculate lighting and shadows. But storage of long animations in RGB format is usually cost prohibitive and a 30 frame-per-second data rate of uncompressed RGB is beyond most computers. By taking advantage of certain aspects of the human visual system, true color 24-bit RGB video images can be compressed with minimal loss of visual information

  16. EDUCATIONAL AUTHENTIC VIDEO RESOURCES AS AN ESSENTIAL METHOD OF STUDYING ENGLISH PRONUNCIATION AND INTONATION IN THE CONDITIONS OF THE UKRAINIAN CARPATHIANS

    Directory of Open Access Journals (Sweden)

    Sergiy Sydoriv

    2015-04-01

    Full Text Available The paper deals with the issues of teaching and learning the English language for young pupils at mountainous areas of Ukrainian Carpathians. During the first two decades of the third millennium the decline of educational and social services financing is seen in Ukraine. The results of this is very noticeable in the mountains schooling: closure of schools, lack of school buses, poor supply of equipment and studying materials, extra-long winter holidays because of low temperature in classrooms. The demographic factor is also important: many parents are forced to migrate abroad in order to support their children in the Eastern Carpathian villages. At the same time there is a growth in the use of ICT. The internet coverage leaves much to be desired but the situation is expected to be gradually improved. The schools are still use outdated computing and video equipment, although some enthusiastic teachers and students are willing to use own portable video devices in order to study English and learn to communicate effectively at school and home. The article emphasizes some important aspects of using authentic video resources to teach pronunciation and intonation.

  17. Understanding Video Games

    DEFF Research Database (Denmark)

    Heide Smith, Jonas; Tosca, Susana Pajares; Egenfeldt-Nielsen, Simon

    From Pong to PlayStation 3 and beyond, Understanding Video Games is the first general introduction to the exciting new field of video game studies. This textbook traces the history of video games, introduces the major theories used to analyze games such as ludology and narratology, reviews...... the economics of the game industry, examines the aesthetics of game design, surveys the broad range of game genres, explores player culture, and addresses the major debates surrounding the medium, from educational benefits to the effects of violence. Throughout the book, the authors ask readers to consider...... larger questions about the medium: * What defines a video game? * Who plays games? * Why do we play games? * How do games affect the player? Extensively illustrated, Understanding Video Games is an indispensable and comprehensive resource for those interested in the ways video games are reshaping...

  18. Collaborative Video Sketching

    DEFF Research Database (Denmark)

    Henningsen, Birgitte; Gundersen, Peter Bukovica; Hautopp, Heidi

    2017-01-01

    This paper introduces to what we define as a collaborative video sketching process. This process links various sketching techniques with digital storytelling approaches and creative reflection processes in video productions. Traditionally, sketching has been used by designers across various...... forms and through empirical examples, we present and discuss the video recording of sketching sessions, as well as development of video sketches by rethinking, redoing and editing the recorded sessions. The empirical data is based on workshop sessions with researchers and students from universities...... and university colleges and primary and secondary school teachers. As researchers, we have had different roles in these action research case studies where various video sketching techniques were applied.The analysis illustrates that video sketching can take many forms, and two common features are important...

  19. Reflections on academic video

    Directory of Open Access Journals (Sweden)

    Thommy Eriksson

    2012-11-01

    Full Text Available As academics we study, research and teach audiovisual media, yet rarely disseminate and mediate through it. Today, developments in production technologies have enabled academic researchers to create videos and mediate audiovisually. In academia it is taken for granted that everyone can write a text. Is it now time to assume that everyone can make a video essay? Using the online journal of academic videos Audiovisual Thinking and the videos published in it as a case study, this article seeks to reflect on the emergence and legacy of academic audiovisual dissemination. Anchoring academic video and audiovisual dissemination of knowledge in two critical traditions, documentary theory and semiotics, we will argue that academic video is in fact already present in a variety of academic disciplines, and that academic audiovisual essays are bringing trends and developments that have long been part of academic discourse to their logical conclusion.

  20. Combining wavelets transform and Hu moments with self-organizing maps for medical image categorization

    Science.gov (United States)

    Silva, Leandro A.; Del-Moral-Hernandez, Emilio; Moreno, Ramon A.; Furuie, Sérgio S.

    2011-10-01

    Images are fundamental sources of information in modern medicine. The images stored in a database and divided in categories are an important step for image retrieval. For an automatic categorization process, detailed analysis is done regarding image representation and generalization method. The baseline method for this process, in the medical image context, is using thumbnails and K-nearest neighbor (KNN), which is easily implemented and has had satisfactory results in literature. This work addresses an alternative method for automatic categorization, which jointly uses discrete wavelet transform with Hu's moments for image representation and self-organizing maps (SOM) neural networks combined with the KNN classifier (SOM-KNN), for medical image categorization. Furthermore, extensive experiments are conducted, to define the best wavelet family and to select the best coefficients set, to consider the remaining wavelet coefficients set (not selected as the best ones) through their Hu's moments, and to carry out a contrastive study with other successful approaches for categorization. The categorization result from a database with 10,000 images in 116 categories yielded 81.8% of correct rate, which is much better than the 67.9% obtained by the baseline method; and the time consumed in classification processing with SOM-KNN is 100 times shorter than KNN.

  1. Vowel categorization and the critical band.

    Science.gov (United States)

    Weitzman, R S

    1992-01-01

    Using the concept formation paradigm, two series of experiments were conducted to test the hypothesis that the critical band (CB) was a factor in learning to make absolute discriminations of vowels. The specific hypothesis being examined was that the CB is a psychoacoustic boundary in learning to make vowel categorizations, and that learning absolute discriminations of pairs of vowels that differ in one of their formants by one bark or more is significantly easier than learning absolute discriminations of vowels that differ by less than one bark. Subjects were given the task of learning to identify paired sets of synthesized vowels that differed in either F1 or F2 by 0.4, 0.6, 0.8, 1.0, or 1.2 bark. The results of these experiments suggest that the critical bandwidth is not a natural psychoacoustic boundary in the learning of vowel categories, and also that subjects seem better able to learn distinctions involving differences in F1 than distinctions involving differences in F2. The discussion raises the possibility that vowels that differ by less than one bark may not be perceptually viable because of such factors as ambient noise, articulatory constraints, and coarticulatory influences. Some evidence from Dutch and French is presented in support of this conjecture.

  2. Topological and categorical properties of binary trees

    Directory of Open Access Journals (Sweden)

    H. Pajoohesh

    2008-04-01

    Full Text Available Binary trees are very useful tools in computer science for estimating the running time of so-called comparison based algorithms, algorithms in which every action is ultimately based on a prior comparison between two elements. For two given algorithms A and B where the decision tree of A is more balanced than that of B, it is known that the average and worst case times of A will be better than those of B, i.e., ₸A(n ≤₸B(n and TWA (n≤TWB (n. Thus the most balanced and the most imbalanced binary trees play a main role. Here we consider them as semilattices and characterize the most balanced and the most imbalanced binary trees by topological and categorical properties. Also we define the composition of binary trees as a commutative binary operation, *, such that for binary trees A and B, A * B is the binary tree obtained by attaching a copy of B to any leaf of A. We show that (T,* is a commutative po-monoid and investigate its properties.

  3. Pseudocontingencies derived from categorically organized memory representations.

    Science.gov (United States)

    Vogel, Tobias; Freytag, Peter; Kutzner, Florian; Fiedler, Klaus

    2013-11-01

    Pseudocontingencies (PCs) allow for inferences about the contingency between two variables X and Y when the conditions for genuine contingency assessment are not met. Even when joint observations X i and Y i about the same reference objects i are not available or are detached in time or space, the correlation r(X i ,Y i ) is readily inferred from base rates. Inferred correlations are positive (negative) if X and Y base rates are skewed in the same (different) directions. Such PC inferences afford useful proxies for actually existing contingencies. While previous studies have focused on PCs due to environmental base rates, the present research highlights memory organization as a natural source of PC effects. When information about two attributes X and Y is represented in a hierarchically organized categorical memory code, as category-wise base rates p(X) and p(Y), the reconstruction of item-level information from category base rates will naturally produce PC effects. Three experiments support this contention. When the yes base rates of two respondents in four questionnaire subscales (categories) were correlated, recalled and predicted item-level responses were correlated in the same direction, even when the original responses to specific items within categories were correlated in the opposite direction.

  4. A classification framework for lung tissue categorization

    Science.gov (United States)

    Depeursinge, Adrien; Iavindrasana, Jimison; Hidki, Asmâa; Cohen, Gilles; Geissbuhler, Antoine; Platon, Alexandra; Poletti, Pierre-Alexandre; Müller, Henning

    2008-03-01

    We compare five common classifier families in their ability to categorize six lung tissue patterns in high-resolution computed tomography (HRCT) images of patients affected with interstitial lung diseases (ILD) but also normal tissue. The evaluated classifiers are Naive Bayes, k-Nearest Neighbor (k-NN), J48 decision trees, Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM). The dataset used contains 843 regions of interest (ROI) of healthy and five pathologic lung tissue patterns identified by two radiologists at the University Hospitals of Geneva. Correlation of the feature space composed of 39 texture attributes is studied. A grid search for optimal parameters is carried out for each classifier family. Two complementary metrics are used to characterize the performances of classification. Those are based on McNemar's statistical tests and global accuracy. SVM reached best values for each metric and allowed a mean correct prediction rate of 87.9% with high class-specific precision on testing sets of 423 ROIs.

  5. Categorical congruence facilitates multisensory associative learning.

    Science.gov (United States)

    Barenholtz, Elan; Lewkowicz, David J; Davidson, Meredith; Mavica, Lauren

    2014-10-01

    Learning about objects often requires making arbitrary associations among multisensory properties, such as the taste and appearance of a food or the face and voice of a person. However, the multisensory properties of individual objects usually are statistically constrained, such that some properties are more likely to co-occur than others, on the basis of their category. For example, male faces are more likely to co-occur with characteristically male voices than with female voices. Here, we report evidence that these natural multisensory statistics play a critical role in the learning of novel, arbitrary associative pairs. In Experiment 1, we found that learning of pairs consisting of human voices and gender-congruent faces was superior to learning of pairs consisting of human voices and gender-incongruent faces or of pairs consisting of human voices and pictures of inanimate objects (plants and rocks). In Experiment 2, we found that this "categorical congruency" advantage extended to nonhuman stimuli, as well-namely, to pairs of class-congruent animal pictures and vocalizations (e.g., dogs and barks) versus class-incongruent pairs (e.g., dogs and bird chirps). These findings suggest that associating multisensory properties that are statistically consistent with the various objects that we encounter in our daily lives is a privileged form of learning.

  6. Complex surveys analysis of categorical data

    CERN Document Server

    Mukhopadhyay, Parimal

    2016-01-01

    The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters’ behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex survey designs like multistage stratified cluster designs. The o...

  7. Sound for digital video

    CERN Document Server

    Holman, Tomlinson

    2013-01-01

    Achieve professional quality sound on a limited budget! Harness all new, Hollywood style audio techniques to bring your independent film and video productions to the next level.In Sound for Digital Video, Second Edition industry experts Tomlinson Holman and Arthur Baum give you the tools and knowledge to apply recent advances in audio capture, video recording, editing workflow, and mixing to your own film or video with stunning results. This fresh edition is chockfull of techniques, tricks, and workflow secrets that you can apply to your own projects from preproduction

  8. Green Power Partnership Videos

    Science.gov (United States)

    The Green Power Partnership develops videos on a regular basis that explore a variety of topics including, Green Power partnership, green power purchasing, Renewable energy certificates, among others.

  9. An Affinity Propagation Clustering Algorithm for Mixed Numeric and Categorical Datasets

    Directory of Open Access Journals (Sweden)

    Kang Zhang

    2014-01-01

    Full Text Available Clustering has been widely used in different fields of science, technology, social science, and so forth. In real world, numeric as well as categorical features are usually used to describe the data objects. Accordingly, many clustering methods can process datasets that are either numeric or categorical. Recently, algorithms that can handle the mixed data clustering problems have been developed. Affinity propagation (AP algorithm is an exemplar-based clustering method which has demonstrated good performance on a wide variety of datasets. However, it has limitations on processing mixed datasets. In this paper, we propose a novel similarity measure for mixed type datasets and an adaptive AP clustering algorithm is proposed to cluster the mixed datasets. Several real world datasets are studied to evaluate the performance of the proposed algorithm. Comparisons with other clustering algorithms demonstrate that the proposed method works well not only on mixed datasets but also on pure numeric and categorical datasets.

  10. Highlight detection for video content analysis through double filters

    Science.gov (United States)

    Sun, Zhonghua; Chen, Hexin; Chen, Mianshu

    2005-07-01

    Highlight detection is a form of video summarization techniques aiming at including the most expressive or attracting parts in the video. Most video highlights selection research work has been performed on sports video, detecting certain objects or events such as goals in soccer video, touch down in football and others. In this paper, we present a highlight detection method for film video. Highlight section in a film video is not like that in sports video that usually has certain objects or events. The methods to determine a highlight part in a film video can exhibit as three aspects: (a) locating obvious audio event, (b) detecting expressive visual content around the obvious audio location, (c) selecting the preferred portion of the extracted audio-visual highlight segments. We define a double filters model to detect the potential highlights in video. First obvious audio location is determined through filtering the obvious audio features, and then we perform the potential visual salience detection around the potential audio highlight location. Finally the production from the audio-visual double filters is compared with a preference threshold to determine the final highlights. The user study results indicate that the double filters detection approach is an effective method for highlight detection for video content analysis.

  11. Prototypes, exemplars, and the natural history of categorization.

    Science.gov (United States)

    Smith, J David

    2014-04-01

    The article explores-from a utility/adaptation perspective-the role of prototype and exemplar processes in categorization. The author surveys important category tasks within the categorization literature from the perspective of the optimality of applying prototype and exemplar processes. Formal simulations reveal that organisms will often (not always!) receive more useful signals about category belongingness if they average their exemplar experience into a prototype and use this as the comparative standard for categorization. This survey then provides the theoretical context for considering the evolution of cognitive systems for categorization. In the article's final sections, the author reviews recent research on the performance of nonhuman primates and humans in the tasks analyzed in the article. Diverse species share operating principles, default commitments, and processing weaknesses in categorization. From these commonalities, it may be possible to infer some properties of the categorization ecology these species generally experienced during cognitive evolution.

  12. Person categorization and automatic racial stereotyping effects on weapon identification.

    Science.gov (United States)

    Jones, Christopher R; Fazio, Russell H

    2010-08-01

    Prior stereotyping research provides conflicting evidence regarding the importance of person categorization along a particular dimension for the automatic activation of a stereotype corresponding to that dimension. Experiment 1 replicated a racial stereotyping effect on object identification and examined whether it could be attenuated by encouraging categorization by age. Experiment 2 employed socially complex person stimuli and manipulated whether participants categorized spontaneously or by race. In Experiment 3, the distinctiveness of the racial dimension was manipulated by having Black females appear in the context of either Black males or White females. The results indicated that conditions fostering categorization by race consistently produced automatic racial stereotyping and that conditions fostering nonracial categorization can eliminate automatic racial stereotyping. Implications for the relation between automatic stereotype activation and dimension of categorization are discussed.

  13. Categorization of crime victims: comparing theory and legislation

    Directory of Open Access Journals (Sweden)

    Arifi Besa

    2016-01-01

    Full Text Available This article aims to analyze the categorization of victims by several victimological schools and to compare that to the categorization in the Criminal Procedure Code of Macedonia (CPC. The first part of this article analyzes different theoretical categories of victims, taking into consideration approaches of representatives of positivist, conservative, radical and critical victimology. A parallel is drawn between theoretical and legislative categorization of victims. Many countries have reformed their criminal legislation providing certain rights to the victim of crime. The second part of the article discusses the categorization of the victims within the CPC of Macedonia. Categorization of the victims is linked to their separate rights guaranteed by law. The article draws certain conclusions and recommendations regarding the categorization of victims and their specific rights. The importance of effective implementation of the guaranteed rights for the victim is especially emphasized.

  14. Motivation to control prejudice predicts categorization of multiracials.

    Science.gov (United States)

    Chen, Jacqueline M; Moons, Wesley G; Gaither, Sarah E; Hamilton, David L; Sherman, Jeffrey W

    2014-05-01

    Multiracial individuals often do not easily fit into existing racial categories. Perceivers may adopt a novel racial category to categorize multiracial targets, but their willingness to do so may depend on their motivations. We investigated whether perceivers' levels of internal motivation to control prejudice (IMS) and external motivation to control prejudice (EMS) predicted their likelihood of categorizing Black-White multiracial faces as Multiracial. Across four studies, IMS positively predicted perceivers' categorizations of multiracial faces as Multiracial. The association between IMS and Multiracial categorizations was strongest when faces were most racially ambiguous. Explicit prejudice, implicit prejudice, and interracial contact were ruled out as explanations for the relationship between IMS and Multiracial categorizations. EMS may be negatively associated with the use of the Multiracial category. Therefore, perceivers' motivations to control prejudice have important implications for racial categorization processes.

  15. The time course of explicit and implicit categorization.

    Science.gov (United States)

    Smith, J David; Zakrzewski, Alexandria C; Herberger, Eric R; Boomer, Joseph; Roeder, Jessica L; Ashby, F Gregory; Church, Barbara A

    2015-10-01

    Contemporary theory in cognitive neuroscience distinguishes, among the processes and utilities that serve categorization, explicit and implicit systems of category learning that learn, respectively, category rules by active hypothesis testing or adaptive behaviors by association and reinforcement. Little is known about the time course of categorization within these systems. Accordingly, the present experiments contrasted tasks that fostered explicit categorization (because they had a one-dimensional, rule-based solution) or implicit categorization (because they had a two-dimensional, information-integration solution). In Experiment 1, participants learned categories under unspeeded or speeded conditions. In Experiment 2, they applied previously trained category knowledge under unspeeded or speeded conditions. Speeded conditions selectively impaired implicit category learning and implicit mature categorization. These results illuminate the processing dynamics of explicit/implicit categorization.

  16. Preliminary Validation of a New Clinical Tool for Identifying Problem Video Game Playing

    Science.gov (United States)

    King, Daniel Luke; Delfabbro, Paul H.; Zajac, Ian T.

    2011-01-01

    Research has estimated that between 6 to 13% of individuals who play video games do so excessively. However, the methods and definitions used to identify "problem" video game players often vary considerably. This research presents preliminary validation data for a new measure of problematic video game play called the Problem Video Game…

  17. Centennial glacier retreat as categorical evidence of regional climate change

    Science.gov (United States)

    Roe, Gerard H.; Baker, Marcia B.; Herla, Florian

    2017-02-01

    The near-global retreat of glaciers over the last century provides some of the most iconic imagery for communicating the reality of anthropogenic climate change to the public. Surprisingly, however, there has not been a quantitative foundation for attributing the retreats to climate change, except in the global aggregate. This gap, between public perception and scientific basis, is due to uncertainties in numerical modelling and the short length of glacier mass-balance records. Here we present a method for assessing individual glacier change based on the signal-to-noise ratio, a robust metric that is insensitive to uncertainties in glacier dynamics. Using only meteorological and glacier observations, and the characteristic decadal response time of glaciers, we demonstrate that observed retreats of individual glaciers represent some of the highest signal-to-noise ratios of climate change yet documented. Therefore, in many places, the centennial-scale retreat of the local glaciers does indeed constitute categorical evidence of climate change.

  18. Performance evaluation software moving object detection and tracking in videos

    CERN Document Server

    Karasulu, Bahadir

    2013-01-01

    Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS),

  19. Wyner-Ziv Bayer-pattern video coding

    OpenAIRE

    Chen, Hu

    2013-01-01

    This thesis addresses the problem of Bayer-pattern video communications using Wyner-Ziv video coding. There are three major contributions. Firstly, a state-of-the-art Wyner-Ziv video codec using turbo codes is optimized and its functionality is extended. Secondly, it is studied how to realize joint source-channel coding using Wyner-Ziv video coding. The motivation is to achieve high error resiliency for wireless video transmission. Thirdly, a new color space transform method is proposed speci...

  20. Enhanced HMAX model with feedforward feature learning for multiclass categorization

    Directory of Open Access Journals (Sweden)

    Yinlin eLi

    2015-10-01

    Full Text Available In recent years, the interdisciplinary research between neuroscience and computer vision has promoted the development in both fields. Many biologically inspired visual models are proposed, and among them, the Hierarchical Max-pooling model (HMAX is a feedforward model mimicking the structures and functions of V1 to posterior inferotemporal (PIT layer of the primate visual cortex, which could generate a series of position- and scale- invariant features. However, it could be improved with attention modulation and memory processing, which are two important properties of the primate visual cortex. Thus, in this paper, based on recent biological research on the primate visual cortex, we still mimic the first 100-150 milliseconds of visual cognition to enhance the HMAX model, which mainly focuses on the unsupervised feedforward feature learning process. The main modifications are as follows: 1 To mimic the attention modulation mechanism of V1 layer, a bottom-up saliency map is computed in the S1 layer of the HMAX model, which can support the initial feature extraction for memory processing; 2 To mimic the learning, clustering and short-term memory to long-term memory conversion abilities of V2 and IT, an unsupervised iterative clustering method is used to learn clusters with multiscale middle level patches, which are taken as long-term memory; 3 Inspired by the multiple feature encoding mode of the primate visual cortex, information including color, orientation, and spatial position are encoded in different layers of the HMAX model progressively. By adding a softmax layer at the top of the model, multiclass categorization experiments can be conducted, and the results on Caltech101 show that the enhanced model with a smaller memory size exhibits higher accuracy than the original HMAX model, and could also achieve better accuracy than other unsupervised feature learning methods in multiclass categorization task.

  1. Acoustic Neuroma Educational Video

    Medline Plus

    Full Text Available ... a Group Upcoming Events Video Library Photo Gallery One-on-One Support ANetwork Peer Support Program Community Connections Overview ... group Back Upcoming events Video Library Photo Gallery One-on-One Support Back ANetwork Peer Support Program ...

  2. Reviews in instructional video

    NARCIS (Netherlands)

    van der Meij, Hans

    2017-01-01

    This study investigates the effectiveness of a video tutorial for software training whose construction was based on a combination of insights from multimedia learning and Demonstration-Based Training. In the videos, a model of task performance was enhanced with instructional features that were

  3. Digital Video Editing

    Science.gov (United States)

    McConnell, Terry

    2004-01-01

    Monica Adams, head librarian at Robinson Secondary in Fairfax country, Virginia, states that librarians should have the technical knowledge to support projects related to digital video editing. The process of digital video editing and the cables, storage issues and the computer system with software is described.

  4. AudioMove Video

    DEFF Research Database (Denmark)

    2012-01-01

    Live drawing video experimenting with low tech techniques in the field of sketching and visual sense making. In collaboration with Rune Wehner and Teater Katapult.......Live drawing video experimenting with low tech techniques in the field of sketching and visual sense making. In collaboration with Rune Wehner and Teater Katapult....

  5. Making Good Physics Videos

    Science.gov (United States)

    Lincoln, James

    2017-01-01

    Online videos are an increasingly important way technology is contributing to the improvement of physics teaching. Students and teachers have begun to rely on online videos to provide them with content knowledge and instructional strategies. Online audiences are expecting greater production value, and departments are sometimes requesting educators…

  6. SECRETS OF SONG VIDEO

    Directory of Open Access Journals (Sweden)

    Chernyshov Alexander V.

    2014-04-01

    Full Text Available The article focuses on the origins of the song videos as TV and Internet-genre. In addition, it considers problems of screen images creation depending on the musical form and the text of a songs in connection with relevant principles of accent and phraseological video editing and filming techniques as well as with additional frames and sound elements.

  7. Acoustic Neuroma Educational Video

    Medline Plus

    Full Text Available ... support group for me? Find a Group Upcoming Events Video Library Photo Gallery One-on-One Support ANetwork Peer ... group for me? Find a group Back Upcoming events Video Library Photo Gallery One-on-One Support Back ANetwork ...

  8. Personal Digital Video Stories

    DEFF Research Database (Denmark)

    Ørngreen, Rikke; Henningsen, Birgitte Sølbeck; Louw, Arnt Vestergaard

    2016-01-01

    agenda focusing on video productions in combination with digital storytelling, followed by a presentation of the digital storytelling features. The paper concludes with a suggestion to initiate research in what is identified as Personal Digital Video (PDV) Stories within longitudinal settings, while...

  9. The Video Generation.

    Science.gov (United States)

    Provenzo, Eugene F., Jr.

    1992-01-01

    Video games are neither neutral nor harmless but represent very specific social and symbolic constructs. Research on the social content of today's video games reveals that sex bias and gender stereotyping are widely evident throughout the Nintendo games. Violence and aggression also pervade the great majority of the games. (MLF)

  10. Rheumatoid Arthritis Educational Video Series

    Medline Plus

    Full Text Available ... Patient Webcasts / Rheumatoid Arthritis Educational Video Series Rheumatoid Arthritis Educational Video Series This series of five videos ... member of our patient care team. Managing Your Arthritis Managing Your Arthritis Managing Chronic Pain and Depression ...

  11. Rheumatoid Arthritis Educational Video Series

    Medline Plus

    Full Text Available ... Corner / Patient Webcasts / Rheumatoid Arthritis Educational Video Series Rheumatoid Arthritis Educational Video Series This series of five videos was designed to help you learn more about Rheumatoid Arthritis (RA). You will learn how the diagnosis of ...

  12. Rheumatoid Arthritis Educational Video Series

    Science.gov (United States)

    ... Corner / Patient Webcasts / Rheumatoid Arthritis Educational Video Series Rheumatoid Arthritis Educational Video Series This series of five videos was designed to help you learn more about Rheumatoid Arthritis (RA). You will learn how the diagnosis of ...

  13. NEI You Tube Videos: Amblyopia

    Medline Plus

    Full Text Available ... questions Clinical Studies Publications Catalog Photos and Images Spanish Language Information Grants and Funding Extramural Research Division ... Low Vision Refractive Errors Retinopathy of Prematurity Science Spanish Videos Webinars NEI YouTube Videos: Amblyopia Embedded video ...

  14. Video tonal stabilization via color states smoothing.

    Science.gov (United States)

    Wang, Yinting; Tao, Dacheng; Li, Xiang; Song, Mingli; Bu, Jiajun; Tan, Ping

    2014-11-01

    We address the problem of removing video color tone jitter that is common in amateur videos recorded with hand-held devices. To achieve this, we introduce color state to represent the exposure and white balance state of a frame. The color state of each frame can be computed by accumulating the color transformations of neighboring frame pairs. Then, the tonal changes of the video can be represented by a time-varying trajectory in color state space. To remove the tone jitter, we smooth the original color state trajectory by solving an L1 optimization problem with PCA dimensionality reduction. In addition, we propose a novel selective strategy to remove small tone jitter while retaining extreme exposure and white balance changes to avoid serious artifacts. Quantitative evaluation and visual comparison with previous work demonstrate the effectiveness of our tonal stabilization method. This system can also be used as a preprocessing tool for other video editing methods.

  15. Social video content delivery

    CERN Document Server

    Wang, Zhi; Zhu, Wenwu

    2016-01-01

    This brief presents new architecture and strategies for distribution of social video content. A primary framework for socially-aware video delivery and a thorough overview of the possible approaches is provided. The book identifies the unique characteristics of socially-aware video access and social content propagation, revealing the design and integration of individual modules that are aimed at enhancing user experience in the social network context. The change in video content generation, propagation, and consumption for online social networks, has significantly challenged the traditional video delivery paradigm. Given the massive amount of user-generated content shared in online social networks, users are now engaged as active participants in the social ecosystem rather than as passive receivers of media content. This revolution is being driven further by the deep penetration of 3G/4G wireless networks and smart mobile devices that are seamlessly integrated with online social networking and media-sharing s...

  16. A Snapshot of the Depiction of Electronic Cigarettes in YouTube Videos.

    Science.gov (United States)

    Romito, Laura M; Hurwich, Risa A; Eckert, George J

    2015-11-01

    To assess the depiction of e-cigarettes in YouTube videos. The sample (N = 63) was selected from the top 20 search results for "electronic cigarette," and "e-cig" with each term searched twice by the filters "Relevance" and "View Count." Data collected included title, length, number of views, "likes," "dislikes," comments, and inferred demographics of individuals appearing in the videos. Seventy-six percent of videos included at least one man, 62% included a Caucasian, and 50% included at least one young individual. Video content connotation was coded as positive (76%), neutral (18%), or negative (6%). Videos were categorized as advertisement (33%), instructional (17%), news clip (19%), product review (13%), entertainment (11%), public health (3%), and personal testimonial (3%). Most e-cigarette YouTube videos are non-traditional or covert advertisements featuring young Caucasian men.

  17. Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization.

    Science.gov (United States)

    Gao, Shenghua; Tsang, Ivor Wai-Hung; Ma, Yi

    2014-02-01

    This paper targets fine-grained image categorization by learning a category-specific dictionary for each category and a shared dictionary for all the categories. Such category-specific dictionaries encode subtle visual differences among different categories, while the shared dictionary encodes common visual patterns among all the categories. To this end, we impose incoherence constraints among the different dictionaries in the objective of feature coding. In addition, to make the learnt dictionary stable, we also impose the constraint that each dictionary should be self-incoherent. Our proposed dictionary learning formulation not only applies to fine-grained classification, but also improves conventional basic-level object categorization and other tasks such as event recognition. Experimental results on five data sets show that our method can outperform the state-of-the-art fine-grained image categorization frameworks as well as sparse coding based dictionary learning frameworks. All these results demonstrate the effectiveness of our method.

  18. Do sign language videos improve Web navigation for Deaf Signer users?

    Science.gov (United States)

    Fajardo, Inmaculada; Parra, Elena; Cañas, José J

    2010-01-01

    The efficacy of video-based sign language (SL) navigation aids to improve Web search for Deaf Signers was tested by two experiments. Experiment 1 compared 2 navigation aids based on text hyperlinks linked to embedded SL videos, which differed in the spatial contiguity between the text hyperlink and SL video (contiguous vs. distant). Deaf Signers' performance was similar in Web search using both aids, but a positive correlation between their word categorization abilities and search efficiency appeared in the distant condition. In Experiment 2, the contiguous condition was compared with a text-only hyperlink condition. Deaf Signers became less disorientated (used shorter paths to find the target) in the text plus SL condition than in the text-only condition. In addition, the positive correlation between word categorization abilities and search only appeared in the text-only condition. These findings suggest that SL videos added to text hyperlinks improve Web search efficiency for Deaf Signers.

  19. Designing educational video games in Unity

    OpenAIRE

    Brglez, Domen

    2017-01-01

    We are always trying to improve learning process by finding new ways to increase motivation, make things easier to understand and last but not least to get better learning results. One method to do that is by creating educational video games. Video games are used in situations that can explain certain situations better, where we can make safe environment for students to experiment new things, to simulate real life situations and last but not least to increase their motivation in learning p...

  20. Digital Video Stabilization with Inertial Fusion

    OpenAIRE

    Freeman, William John

    2013-01-01

    As computing power becomes more and more available, robotic systems are moving away from active sensors for environmental awareness and transitioning into passive vision sensors.  With the advent of teleoperation and real-time video tracking of dynamic environments, the need to stabilize video onboard mobile robots has become more prevalent. This thesis presents a digital stabilization method that incorporates inertial fusion with a Kalman filter.  The camera motion is derived visually by tra...

  1. Still image and video compression with MATLAB

    CERN Document Server

    Thyagarajan, K

    2010-01-01

    This book describes the principles of image and video compression techniques and introduces current and popular compression standards, such as the MPEG series. Derivations of relevant compression algorithms are developed in an easy-to-follow fashion. Numerous examples are provided in each chapter to illustrate the concepts. The book includes complementary software written in MATLAB SIMULINK to give readers hands-on experience in using and applying various video compression methods. Readers can enhance the software by including their own algorithms.

  2. Satellite Video Stabilization with Geometric Distortion

    OpenAIRE

    Wang, Xia; Zhang, Guo; Shen, Xin; Li, Beibei; Jiang, Yonghua

    2016-01-01

    There is an exterior orientation difference in each satellite video frame, and the corresponding points have different image locations in adjacent frames images which has geometric distortion. So the projection model, affine model and other classical image stabilization registration model cannot accurately describe the relationship between adjacent frames. This paper proposes a new satellite video image stabilization method with geometric distortion to solve the problem, based on the simulate...

  3. Timeline editing of objects in video.

    Science.gov (United States)

    Lu, Shao-Ping; Zhang, Song-Hai; Wei, Jin; Hu, Shi-Min; Martin, Ralph R

    2013-07-01

    We present a video editing technique based on changing the timelines of individual objects in video, which leaves them in their original places but puts them at different times. This allows the production of object-level slow motion effects, fast motion effects, or even time reversal. This is more flexible than simply applying such effects to whole frames, as new relationships between objects can be created. As we restrict object interactions to the same spatial locations as in the original video, our approach can produce highquality results using only coarse matting of video objects. Coarse matting can be done efficiently using automatic video object segmentation, avoiding tedious manual matting. To design the output, the user interactively indicates the desired new life spans of objects, and may also change the overall running time of the video. Our method rearranges the timelines of objects in the video whilst applying appropriate object interaction constraints. We demonstrate that, while this editing technique is somewhat restrictive, it still allows many interesting results.

  4. Classifying smoke in laparoscopic videos using SVM

    Directory of Open Access Journals (Sweden)

    Alshirbaji Tamer Abdulbaki

    2017-09-01

    Full Text Available Smoke in laparoscopic videos usually appears due to the use of electrocautery when cutting or coagulating tissues. Therefore, detecting smoke can be used for event-based annotation in laparoscopic surgeries by retrieving the events associated with the electrocauterization. Furthermore, smoke detection can also be used for automatic smoke removal. However, detecting smoke in laparoscopic video is a challenge because of the changeability of smoke patterns, the moving camera and the different lighting conditions. In this paper, we present a video-based smoke detection algorithm to detect smoke of different densities such as fog, low and high density in laparoscopic videos. The proposed method depends on extracting various visual features from the laparoscopic images and providing them to support vector machine (SVM classifier. Features are based on motion, colour and texture patterns of the smoke. We validated our algorithm using experimental evaluation on four laparoscopic cholecystectomy videos. These four videos were manually annotated by defining every frame as smoke or non-smoke frame. The algorithm was applied to the videos by using different feature combinations for classification. Experimental results show that the combination of all proposed features gives the best classification performance. The overall accuracy (i.e. correctly classified frames is around 84%, with the sensitivity (i.e. correctly detected smoke frames and the specificity (i.e. correctly detected non-smoke frames are 89% and 80%, respectively.

  5. Summarization of human activity videos via low-rank approximation

    OpenAIRE

    Mademlis, Ioannis; Tefas, Anastasios; Nikolaidis, Nikos; Pitas, Ioannis

    2017-01-01

    Summarization of videos depicting human activities is a timely problem with important applications, e.g., in the domains of surveillance or film/TV production, that steadily becomes more relevant. Research on video summarization has mainly relied on global clustering or local (frame-by-frame) saliency methods to provide automated algorithmic solutions for key-frame extraction. This work presents a method based on selecting as key-frames video frames able to optimally reconstruct the entire vi...

  6. Uncertainty Categorization, Modeling, and Management for Regional Water Supply Planning

    Science.gov (United States)

    Fletcher, S.; Strzepek, K. M.; AlSaati, A.; Alhassan, A.

    2016-12-01

    Many water planners face increased pressure on water supply systems from growing demands, variability in supply and a changing climate. Short-term variation in water availability and demand; long-term uncertainty in climate, groundwater storage, and sectoral competition for water; and varying stakeholder perspectives on the impacts of water shortages make it difficult to assess the necessity of expensive infrastructure investments. We categorize these uncertainties on two dimensions: whether they are the result of stochastic variation or epistemic uncertainty, and whether the uncertainties can be described probabilistically or are deep uncertainties whose likelihood is unknown. We develop a decision framework that combines simulation for probabilistic uncertainty, sensitivity analysis for deep uncertainty and Bayesian decision analysis for uncertainties that are reduced over time with additional information. We apply this framework to two contrasting case studies - drought preparedness in Melbourne, Australia and fossil groundwater depletion in Riyadh, Saudi Arabia - to assess the impacts of different types of uncertainty on infrastructure decisions. Melbourne's water supply system relies on surface water, which is impacted by natural variation in rainfall, and a market-based system for managing water rights. Our results show that small, flexible investment increases can mitigate shortage risk considerably at reduced cost. Riyadh, by contrast, relies primarily on desalination for municipal use and fossil groundwater for agriculture, and a centralized planner makes allocation decisions. Poor regional groundwater measurement makes it difficult to know when groundwater pumping will become uneconomical, resulting in epistemic uncertainty. However, collecting more data can reduce the uncertainty, suggesting the need for different uncertainty modeling and management strategies in Riyadh than in Melbourne. We will categorize the two systems and propose appropriate

  7. Video Texture Synthesis Based on Flow-Like Stylization Painting

    Directory of Open Access Journals (Sweden)

    Qian Wenhua

    2014-01-01

    Full Text Available The paper presents an NP-video rendering system based on natural phenomena. It provides a simple nonphotorealistic video synthesis system in which user can obtain a flow-like stylization painting and infinite video scene. Firstly, based on anisotropic Kuwahara filtering in conjunction with line integral convolution, the phenomena video scene can be rendered to flow-like stylization painting. Secondly, the methods of frame division, patches synthesis, will be used to synthesize infinite playing video. According to selection examples from different natural video texture, our system can generate stylized of flow-like and infinite video scenes. The visual discontinuities between neighbor frames are decreased, and we also preserve feature and details of frames. This rendering system is easy and simple to implement.

  8. A new video programme

    CERN Multimedia

    CERN video productions

    2011-01-01

    "What's new @ CERN?", a new monthly video programme, will be broadcast on the Monday of every month on webcast.cern.ch. Aimed at the general public, the programme will cover the latest CERN news, with guests and explanatory features. Tune in on Monday 3 October at 4 pm (CET) to see the programme in English, and then at 4:20 pm (CET) for the French version.   var flash_video_player=get_video_player_path(); insert_player_for_external('Video/Public/Movies/2011/CERN-MOVIE-2011-129/CERN-MOVIE-2011-129-0753-kbps-640x360-25-fps-audio-64-kbps-44-kHz-stereo', 'mms://mediastream.cern.ch/MediaArchive/Video/Public/Movies/2011/CERN-MOVIE-2011-129/CERN-MOVIE-2011-129-Multirate-200-to-753-kbps-640x360-25-fps.wmv', 'false', 480, 360, 'https://mediastream.cern.ch/MediaArchive/Video/Public/Movies/2011/CERN-MOVIE-2011-129/CERN-MOVIE-2011-129-posterframe-640x360-at-10-percent.jpg', '1383406', true, 'Video/Public/Movies/2011/CERN-MOVIE-2011-129/CERN-MOVIE-2011-129-0600-kbps-maxH-360-25-fps-...

  9. Categorical Perception of Emotional Facial Expressions in Preschoolers

    Science.gov (United States)

    Cheal, Jenna L.; Rutherford, M. D.

    2011-01-01

    Adults perceive emotional facial expressions categorically. In this study, we explored categorical perception in 3.5-year-olds by creating a morphed continuum of emotional faces and tested preschoolers' discrimination and identification of them. In the discrimination task, participants indicated whether two examples from the continuum "felt the…

  10. Categorization of aortic aneurysm thrombus morphology by magnetic resonance imaging

    DEFF Research Database (Denmark)

    de la Motte, Louise; Pedersen, Mads Møller; Thomsen, Carsten

    2013-01-01

    Magnetic resonance imaging (MRI) has been proposed for qualitative categorization of intraluminal thrombus morphology. We aimed to correlate the qualitative MRI categorization previously described to quantitative measurements of signal intensity and to compare morphological characteristics...... of intraluminal thrombus specimens to the appearance on magnetic resonance imaging....

  11. Working Memory Does Not Dissociate between Different Perceptual Categorization Tasks

    Science.gov (United States)

    Lewandowsky, Stephan; Yang, Lee-Xieng; Newell, Ben R.; Kalish, Michael L.

    2012-01-01

    Working memory is crucial for many higher level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization. This…

  12. Working Memory Capacity and Categorization: Individual Differences and Modeling

    Science.gov (United States)

    Lewandowsky, Stephan

    2011-01-01

    Working memory is crucial for many higher-level cognitive functions, ranging from mental arithmetic to reasoning and problem solving. Likewise, the ability to learn and categorize novel concepts forms an indispensable part of human cognition. However, very little is known about the relationship between working memory and categorization, and…

  13. CATEGORIZATION BEHAVIOR AND ACHIEVEMENT IN DEAF AND HEARING CHILDREN.

    Science.gov (United States)

    SILVERMAN, TOBY ROSALYN

    THE TRIPLE MODE TEST OF CATEGORIZATION (TMT-CAT), A COPY OF WHICH IS INCLUDED WITH THIS DOCUMENT, WAS CONSTRUCTED AND VALIDATED TO MEASURE THREE MAJOR MODES OF CATEGORIZATION POSTULATED BY VYGOTSKY. THE TMT-CAT CONTAINS 131 TEST ITEMS WHICH ARE PICTURES IN FORCED-CHOICE-PAIR COMPARISONS. THE CHILD MUST INDICATE PLACEMENT OF A STIMULUS PICTURE IN…

  14. Reliability of categorical loudness scaling in the electrical domain

    NARCIS (Netherlands)

    Theelen-van den Hoek, Femke L.; Boymans, Monique; Stainsby, Thomas; Dreschler, Wouter A.

    2014-01-01

    In categorical loudness scaling (CLS), subjects rate the perceived loudness on a categorical scale with alternatives. ISO 16832 describes an internationally standardized CLS procedure for the acoustical domain. This study focuses on the reproducibility of CLS following the recommendations of ISO

  15. Categorical Representation of Facial Expressions in the Infant Brain

    Science.gov (United States)

    Leppanen, Jukka M.; Richmond, Jenny; Vogel-Farley, Vanessa K.; Moulson, Margaret C.; Nelson, Charles A.

    2009-01-01

    Categorical perception, demonstrated as reduced discrimination of within-category relative to between-category differences in stimuli, has been found in a variety of perceptual domains in adults. To examine the development of categorical perception in the domain of facial expression processing, we used behavioral and event-related potential (ERP)…

  16. Interactive video algorithms and technologies

    CERN Document Server

    Hammoud, Riad

    2006-01-01

    This book covers both algorithms and technologies of interactive videos, so that businesses in IT and data managements, scientists and software engineers in video processing and computer vision, coaches and instructors that use video technology in teaching, and finally end-users will greatly benefit from it. This book contains excellent scientific contributions made by a number of pioneering scientists and experts from around the globe. It consists of five parts. The first part introduces the reader to interactive video and video summarization and presents effective methodologies for automatic abstraction of a single video sequence, a set of video sequences, and a combined audio-video sequence. In the second part, a list of advanced algorithms and methodologies for automatic and semi-automatic analysis and editing of audio-video documents are presented. The third part tackles a more challenging level of automatic video re-structuring, filtering of video stream by extracting of highlights, events, and meaningf...

  17. Super-Resolution Still and Video Reconstruction from MPEG Coded Video

    National Research Council Canada - National Science Library

    Altunbasak, Yucel

    2004-01-01

    Transform coding is a popular and effective compression method for both still images and video sequences, as is evident from its widespread use in international media coding standards such as MPEG, H.263 and JPEG...

  18. A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index

    Science.gov (United States)

    Lei, Shaoshuai; Xie, Gang; Yan, Gaowei

    2014-01-01

    Existing key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advanced to divide a shot into subshots based on semantic structure, and then appropriate key-frames are extracted in each subshot by SVD decomposition. Finally, three evaluation indicators are proposed to evaluate the performance of the new approach. Experimental results show that the proposed approach achieves good semantic structure for semantics-based video index and meanwhile produces video summary consistent with human perception. PMID:24757431

  19. Usability Evaluation of a Video Conferencing System in a University’s Classroom

    DEFF Research Database (Denmark)

    Khalid, Md. Saifuddin; Hossan, Md. Iqbal

    2016-01-01

    The integration of video conferencing systems (VCS) have increased significantly in the classrooms and administrative practices of higher education institutions. The VCSs discussed in the existing literature can be broadly categorized as desktop systems (e.g. Scopia), WebRTC or Real......-Time Communications (e.g. Google Hangout, Adobe Connect, Cisco WebEx, and appear.in), and dedicated (e.g. Polycom). There is a lack of empirical study on usability evaluation of the interactive systems in educational contexts. This study identifies usability errors and measures user satisfaction of a dedicated VCS......) analysis of 12 user responses results below average score. Poststudy system test by the vendor has identified cabling and setup error. Applying SUMI followed by qualitative methods might enrich evaluation outcomes....

  20. Web-video-mining-supported workflow modeling for laparoscopic surgeries.

    Science.gov (United States)

    Liu, Rui; Zhang, Xiaoli; Zhang, Hao

    2016-11-01

    As quality assurance is of strong concern in advanced surgeries, intelligent surgical systems are expected to have knowledge such as the knowledge of the surgical workflow model (SWM) to support their intuitive cooperation with surgeons. For generating a robust and reliable SWM, a large amount of training data is required. However, training data collected by physically recording surgery operations is often limited and data collection is time-consuming and labor-intensive, severely influencing knowledge scalability of the surgical systems. The objective of this research is to solve the knowledge scalability problem in surgical workflow modeling with a low cost and labor efficient way. A novel web-video-mining-supported surgical workflow modeling (webSWM) method is developed. A novel video quality analysis method based on topic analysis and sentiment analysis techniques is developed to select high-quality videos from abundant and noisy web videos. A statistical learning method is then used to build the workflow model based on the selected videos. To test the effectiveness of the webSWM method, 250 web videos were mined to generate a surgical workflow for the robotic cholecystectomy surgery. The generated workflow was evaluated by 4 web-retrieved videos and 4 operation-room-recorded videos, respectively. The evaluation results (video selection consistency n-index ≥0.60; surgical workflow matching degree ≥0.84) proved the effectiveness of the webSWM method in generating robust and reliable SWM knowledge by mining web videos. With the webSWM method, abundant web videos were selected and a reliable SWM was modeled in a short time with low labor cost. Satisfied performances in mining web videos and learning surgery-related knowledge show that the webSWM method is promising in scaling knowledge for intelligent surgical systems. Copyright © 2016 Elsevier B.V. All rights reserved.

  1. Categorization of Musical Instrument Sounds Based on Numerical Parameters

    Science.gov (United States)

    Lewis, Rory A.; Wieczorkowska, Alicja

    In this paper we present methodology of categorization of musical instruments sounds, aiming at the continuing goal of codifying the classiffication of these sounds for automating indexing and retrieval purposes. The proposed categorization is based on numerical parameters. The motivation for this paper is based upon the fallibility of Hornbostel and Sachs generic classiffication scheme, most commonly used for categorization of musical instruments. In eliminating the discrepancies of Hornbostel and Sachs' classiffication of musical sounds we present a procedure that draws categorization from numerical attributes, describing both time domain and spectrum of sound, rather than using classiffication based directly on Hornbostel and Sachs scheme. As a result we propose a categorization system based upon the empirical musical parameters and then incorporating the resultant structure for classiffication rules.

  2. Modelling response times in multi-alternative categorization with TVA

    DEFF Research Database (Denmark)

    Blurton, Steven Paul; Kyllingsbæk, Søren; Bundesen, Claus

    Based on the Theory of Visual Attention (TVA; Bundesen, 1990, Psych Rev) we have developed a response time (RT) model for visual categorization. We propose that stimulus confusability leads to noise in the categorization process and that this noise can be countered by repeated categorization...... matched observed RT distributions. The agreement between theory and data is particularly remarkable in the multi-alternative case given the constraint that the model must explain RT distributions of correct and three different types of error responses simultaneously. The RT model inherits favorable....... Visual identifications are made conclusively in favor of one alternative over the other(s) once the number of tentative categorizations favoring this category exceeds the number favoring any other category by a critical amount (the response threshold). In a categorization task with only two alternatives...

  3. Brains on video games

    OpenAIRE

    Bavelier, Daphne; Green, C. Shawn; Han, Doug Hyun; Renshaw, Perry F.; Merzenich, Michael M.; Gentile, Douglas A.

    2011-01-01

    The popular press is replete with stories about the effects of video and computer games on the brain. Sensationalist headlines claiming that video games ‘damage the brain’ or ‘boost brain power’ do not do justice to the complexities and limitations of the studies involved, and create a confusing overall picture about the effects of gaming on the brain. Here, six experts in the field shed light on our current understanding of the positive and negative ways in which playing video games can affe...

  4. High Dynamic Range Video

    CERN Document Server

    Myszkowski, Karol

    2008-01-01

    This book presents a complete pipeline forHDR image and video processing fromacquisition, through compression and quality evaluation, to display. At the HDR image and video acquisition stage specialized HDR sensors or multi-exposure techniques suitable for traditional cameras are discussed. Then, we present a practical solution for pixel values calibration in terms of photometric or radiometric quantities, which are required in some technically oriented applications. Also, we cover the problem of efficient image and video compression and encoding either for storage or transmission purposes, in

  5. 3D video

    CERN Document Server

    Lucas, Laurent; Loscos, Céline

    2013-01-01

    While 3D vision has existed for many years, the use of 3D cameras and video-based modeling by the film industry has induced an explosion of interest for 3D acquisition technology, 3D content and 3D displays. As such, 3D video has become one of the new technology trends of this century.The chapters in this book cover a large spectrum of areas connected to 3D video, which are presented both theoretically and technologically, while taking into account both physiological and perceptual aspects. Stepping away from traditional 3D vision, the authors, all currently involved in these areas, provide th

  6. Spatio-temporal image inpainting for video applications

    Directory of Open Access Journals (Sweden)

    Voronin Viacheslav

    2017-01-01

    Full Text Available Video inpainting or completion is a vital video improvement technique used to repair or edit digital videos. This paper describes a framework for temporally consistent video completion. The proposed method allows to remove dynamic objects or restore missing or tainted regions presented in a video sequence by utilizing spatial and temporal information from neighboring scenes. Masking algorithm is used for detection of scratches or damaged portions in video frames. The algorithm iteratively performs the following operations: achieve frame; update the scene model; update positions of moving objects; replace parts of the frame occupied by the objects marked for remove by using a background model. In this paper, we extend an image inpainting algorithm based texture and structure reconstruction by incorporating an improved strategy for video. Our algorithm is able to deal with a variety of challenging situations which naturally arise in video inpainting, such as the correct reconstruction of dynamic textures, multiple moving objects and moving background. Experimental comparisons to state-of-the-art video completion methods demonstrate the effectiveness of the proposed approach. It is shown that the proposed spatio-temporal image inpainting method allows restoring a missing blocks and removing a text from the scenes on videos.

  7. VORTEX: video retrieval and tracking from compressed multimedia databases--template matching from MPEG-2 video compression standard

    Science.gov (United States)

    Schonfeld, Dan; Lelescu, Dan

    1998-10-01

    In this paper, a novel visual search engine for video retrieval and tracking from compressed multimedia databases is proposed. Our approach exploits the structure of video compression standards in order to perform object matching directly on the compressed video data. This is achieved by utilizing motion compensation--a critical prediction filter embedded in video compression standards--to estimate and interpolate the desired method for template matching. Motion analysis is used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences where those objects are presented and their positions in the image. This in turn enables the retrieval and display of the query-relevant sequences.

  8. Take-home video for adult literacy

    Science.gov (United States)

    Yule, Valerie

    1996-01-01

    In the past, it has not been possible to "teach oneself to read" at home, because learners could not read the books to teach them. Videos and interactive compact discs have changed that situation and challenge current assumptions of the pedagogy of literacy. This article describes an experimental adult literacy project using video technology. The language used is English, but the basic concepts apply to any alphabetic or syllabic writing system. A half-hour cartoon video can help adults and adolescents with learning difficulties. Computer-animated cartoon graphics are attractive to look at, and simplify complex material in a clear, lively way. This video technique is also proving useful for distance learners, children, and learners of English as a second language. Methods and principles are to be extended using interactive compact discs.

  9. Temporal Segmentation of MPEG Video Streams

    Directory of Open Access Journals (Sweden)

    Janko Calic

    2002-06-01

    Full Text Available Many algorithms for temporal video partitioning rely on the analysis of uncompressed video features. Since the information relevant to the partitioning process can be extracted directly from the MPEG compressed stream, higher efficiency can be achieved utilizing information from the MPEG compressed domain. This paper introduces a real-time algorithm for scene change detection that analyses the statistics of the macroblock features extracted directly from the MPEG stream. A method for extraction of the continuous frame difference that transforms the 3D video stream into a 1D curve is presented. This transform is then further employed to extract temporal units within the analysed video sequence. Results of computer simulations are reported.

  10. Do-It-Yourself Whiteboard-Style Physics Video Lectures

    Science.gov (United States)

    Douglas, Scott Samuel; Aiken, John Mark; Greco, Edwin; Schatz, Michael; Lin, Shih-Yin

    2017-01-01

    Video lectures are increasingly being used in physics instruction. For example, video lectures can be used to "flip" the classroom, i.e., to deliver, via the Internet, content that is traditionally transmitted by in-class lectures (e.g., presenting concepts, working examples, etc.), thereby freeing up classroom time for more interactive instruction. To date, most video lectures are live lecture recordings or screencasts. The hand-animated "whiteboard" video is an alternative to these more common styles and affords unique creative opportunities such as stop-motion animation or visual "demonstrations" of phenomena that would be difficult to demo in a classroom. In the spring of 2013, a series of whiteboard-style videos were produced to provide video lecture content for Georgia Tech introductory physics instruction, including flipped courses and a MOOC. This set of videos (which also includes screencasts and live recordings) can be found on the "Your World is Your Lab" YouTube channel. In this article, we describe this method of video production, which is suitable for an instructor working solo or in collaboration with students; we explore students' engagement with these videos in a separate work. A prominent example of whiteboard animation is the "Minute Physics" video series by Henry Reich, whose considerable popularity and accessible, cartoony style were the original inspiration for our own video lectures.

  11. Locale-Specific Categorization of IT Projects for Proper Project Management

    Directory of Open Access Journals (Sweden)

    Muhammad Nasir

    2015-12-01

    Full Text Available In this paper we aim to show that not only are the project management techniques important for small-scale projects, but following proper project management techniques is one of the most important requirements. However, there come slight variations in implementing project management techniques in small projects as compared with larger projects. Therefore, proper categorization of projects holds the key to success in many situations. Our paper will show that categorization of a project as small-scale or large-scale should always be locale specific. In this regards, we develop a criteria and evaluate how the projects are categorized as small-scale and large-scale in different parts of the world with focus on IT projects. This research concludes that some methods cannot be used for projects of different scales.

  12. Large scale identification and categorization of protein sequences using structured logistic regression

    DEFF Research Database (Denmark)

    Pedersen, Bjørn Panella; Ifrim, Georgiana; Liboriussen, Poul

    2014-01-01

    Abstract Background Structured Logistic Regression (SLR) is a newly developed machine learning tool first proposed in the context of text categorization. Current availability of extensive protein sequence databases calls for an automated method to reliably classify sequences and SLR seems well...

  13. Text Categorization for Multi-Page Documents: A Hybrid Naive Bayes HMM Approach.

    Science.gov (United States)

    Frasconi, Paolo; Soda, Giovanni; Vullo, Alessandro

    Text categorization is typically formulated as a concept learning problem where each instance is a single isolated document. This paper is interested in a more general formulation where documents are organized as page sequences, as naturally occurring in digital libraries of scanned books and magazines. The paper describes a method for classifying…

  14. Multiclass Boosting with Adaptive Group-Based kNN and Its Application in Text Categorization

    Directory of Open Access Journals (Sweden)

    Lei La

    2012-01-01

    Full Text Available AdaBoost is an excellent committee-based tool for classification. However, its effectiveness and efficiency in multiclass categorization face the challenges from methods based on support vector machine (SVM, neural networks (NN, naïve Bayes, and k-nearest neighbor (kNN. This paper uses a novel multi-class AdaBoost algorithm to avoid reducing the multi-class classification problem to multiple two-class classification problems. This novel method is more effective. In addition, it keeps the accuracy advantage of existing AdaBoost. An adaptive group-based kNN method is proposed in this paper to build more accurate weak classifiers and in this way control the number of basis classifiers in an acceptable range. To further enhance the performance, weak classifiers are combined into a strong classifier through a double iterative weighted way and construct an adaptive group-based kNN boosting algorithm (AGkNN-AdaBoost. We implement AGkNN-AdaBoost in a Chinese text categorization system. Experimental results showed that the classification algorithm proposed in this paper has better performance both in precision and recall than many other text categorization methods including traditional AdaBoost. In addition, the processing speed is significantly enhanced than original AdaBoost and many other classic categorization algorithms.

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