Showing 161 - 180 results of 3,210 for search '"video"', query time: 0.04s Refine Results
  1. 161
  2. 162

    Context-Aware Attention Network for Human Emotion Recognition in Video by Xiaodong Liu, Miao Wang

    Published 2020-01-01
    “…In this paper, we first build a video dataset with seven categories of human emotion, named human emotion in the video (HEIV). …”
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  3. 163

    Bandwidth allocation games based on network selection for video communication by Shu-zhi WEI, Qi ZHU

    Published 2015-02-01
    Subjects: “…video communication…”
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  4. 164
  5. 165

    Estimating Body Related Soft Biometric Traits in Video Frames by Olasimbo Ayodeji Arigbabu, Sharifah Mumtazah Syed Ahmad, Wan Azizun Wan Adnan, Salman Yussof, Vahab Iranmanesh, Fahad Layth Malallah

    Published 2014-01-01
    “…This paper presents an approach for estimating body related soft biometrics; specifically we propose a new approach based on body measurement and artificial neural network for predicting body weight of subjects and incorporate the existing technique on single view metrology for height estimation in videos with low frame rate. Our evaluation on 1120 frame sets of 80 subjects from a newly compiled dataset shows that the mentioned soft biometric information of human subjects can be adequately predicted from set of frames.…”
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  6. 166

    Open-Source Telemedicine Platform for Wireless Medical Video Communication by A. Panayides, I. Eleftheriou, M. Pantziaris

    Published 2013-01-01
    “…An m-health system for real-time wireless communication of medical video based on open-source software is presented. …”
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    Article
  7. 167

    A Three-Stage Anomaly Detection Framework for Traffic Videos by Junzhou Chen, Jiancheng Wang, Jiajun Pu, Ronghui Zhang

    Published 2022-01-01
    “…This paper proposed a three-stage method for video-based traffic anomaly detection. In the first stage, the ViVit network is employed as a feature extractor to capture the spatiotemporal features from the input video. …”
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  8. 168

    Video Service Quality Guarantee over Smart TV Termial by Liang Yao, Qing Xiao, Weijia Shi, Xi Xi

    Published 2013-04-01
    “…With the development of internet business,intelligent terminals are becoming more and more popular.Faster CPU operating speed,more convenient operating system and flash and RAM with larger capacity than before are brought by terminal intelligence.Intelligent set-top box(STB)can support the IPTV service and OTT service at the same time.The method of estimating video quality experience,differences between IPTV and OTT service business realization mechanism in intelligent terminal was discussed.According to the difference between two types of video service,the method and requirement of quality assurance for video service was presented in the intelligent set-top box.…”
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  9. 169
  10. 170

    Machine Learning-Based Multitarget Tracking of Motion in Sports Video by Xueliang Zhang, Fu-Qiang Yang

    Published 2021-01-01
    “…In this paper, we track the motion of multiple targets in sports videos by a machine learning algorithm and study its tracking technique in depth. …”
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  11. 171

    Improving the Quality of Colonoscopy Bowel Preparation Using an Educational Video by Sateesh R Prakash, Siddharth Verma, John McGowan, Betsy E Smith, Anjali Shroff, Gregory H Gibson, Michael Cheng, Douglas Lowe, Kavitha Gopal, Smruti R Mohanty

    Published 2013-01-01
    “…One hundred thirty-three patients scheduled for an outpatient colonoscopy were prospectively randomized in a single-blinded manner to video or nonvideo group. In addition to written bowel preparation instructions, patients in the video group viewed a brief instructional video. …”
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  12. 172

    Flexible Human Behavior Analysis Framework for Video Surveillance Applications by Weilun Lao, Jungong Han, Peter H. N. de With

    Published 2010-01-01
    “…We study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. …”
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  13. 173

    The Leadership Skills Series: Utilizing Videos to Address Leadership Skills by Matthew Sowcik, Jennifer Wert, Jera Niewoehner-Green

    Published 2018-09-01
    “… This initial publication in the Leaders Skills Series provides Extension professionals with a brief introduction on how to utilize short leadership videos available on the internet to develop specific skills in large or small group settings. …”
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  14. 174

    ¡Instagram y más! Instagram Stories Live y videos by Oliver Carrero Márquez

    Published 2021-07-01
    “…Dan testimonio del uso del formato vídeo en directo, así como de la evolución del zapping al multiscreening o del negocio de la audiencia al negocio de la atención. …”
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  15. 175
  16. 176

    Adaptive Streaming of Scalable Videos over P2PTV by Youssef Lahbabi, El Hassan Ibn Elhaj, Ahmed Hammouch

    Published 2015-01-01
    “…In this paper, we propose a new Scalable Video Coding (SVC) quality-adaptive peer-to-peer television (P2PTV) system executed at the peers and at the network. …”
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  17. 177

    Revitalizing Physiology Education: Integrating Notability and Video-Based Learning by James Davis

    Published 2024-12-01
    “…Students could then review these videos at their convenience. Students reported increased understanding of the material. …”
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  18. 178
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    Knowledge Gap Extraction Based on Learner Interaction with Training Videos by Yosra Bahrani, Omid Fatemi

    Published 2022-01-01
    “…Consequently, this paper presents a new method for calculating the learner’s knowledge gap concerning each concept in the training video content based on the learner’s click behavior. …”
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  20. 180

    Reidentification of Persons Using Clothing Features in Real-Life Video by Guodong Zhang, Peilin Jiang, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita

    Published 2017-01-01
    “…Person reidentification, which aims to track people across nonoverlapping cameras, is a fundamental task in automated video processing. Moving people often appear differently when viewed from different nonoverlapping cameras because of differences in illumination, pose, and camera properties. …”
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