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    ICMCS
    2005
    IEEE
    179views Multimedia» more  ICMCS 2005»
    Estimation of Speaking Speed for Faster Face Detection in Video-Footage
    14 years 3 months ago
    Estimation of Speaking Speed for Faster Face Detection in Video-Footage
    Download  www.cecs.uci.edu
    We previously reported a face detection system based on color segmentation using HSV. It was shown that the color is more effective than other colors not only in accurate segmenta...
    Osamu Ikeda
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    INTERACT
    2003
    119views Human Computer Interaction» more  INTERACT 2003»
    Developing and Experiencing Mobile Video Communication
    13 years 11 months ago
    Developing and Experiencing Mobile Video Communication
    Download  www.idemployee.id.tue.nl
    : The paper concerns collaborative research with the twofold task of developing video streaming technology for mobile devices and exploring user experiences in mobile multimedia. T...
    Anne Soronen, Petri Packalén, Anu Jäpp...
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    IJCAI
    1997
    124views Artificial Intelligence» more  IJCAI 1997»
    Name-It: Naming and Detecting Faces in Video by the Integration of Image and Natural Language Processing
    13 years 11 months ago
    Name-It: Naming and Detecting Faces in Video by the Integration of Image and Natural Language Processing
    Download  www.ri.cmu.edu
    We have been developing Name-It, a system that associates faces and names in news videos. First, as the only knowledge source, the system is given news videos which include image ...
    Shin'ichi Satoh, Yuichi Nakamura, Takeo Kanade
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    ASSETS
    2010
    ACM
    232views Emerging Technology» more  ASSETS 2010»
    Multiple view perspectives: improving inclusiveness and video compression in mainstream classroom recordings
    13 years 10 months ago
    Multiple view perspectives: improving inclusiveness and video compression in mainstream classroom recordings
    Download  www2.cs.uh.edu
    Multiple View Perspectives (MVP) enables deaf and hard of hearing students to view and record multiple video views of a classroom presentation using a stand-alone solution. We sho...
    Raja S. Kushalnagar, Anna Cavender, Jehan-Fran&cce...
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    MVA
    2002
    215views Computer Vision» more  MVA 2002»
    Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
    13 years 9 months ago
    Robust Tracking Algorithm Based on Color and Edge Distribution for Real-time Video Based Motion Capture Systems
    Download  www.cvl.iis.u-tokyo.ac.jp
    This paper describes a robust tracking algorithm for real-time, video based motion capture systems. Conventional motion capture systems are unable to capture motion data in real t...
    Yoshiaki Akazawa, Yoshihiro Okada, Koichi Niijima
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