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    TRECVID
    2007
    118views Internet Technology» more  TRECVID 2007»
    High-Level Feature Extraction Experiments for TRECVID 2007
    13 years 5 months ago
    High-Level Feature Extraction Experiments for TRECVID 2007
    Download  www-nlpir.nist.gov
    TURED ABSTRACT High-Level Feature Extraction (HLFE)
    Masaki Naito, Keiichiro Hoashi, Kazunori Matsumoto...
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    TRECVID
    2007
    132views Internet Technology» more  TRECVID 2007»
    TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
    13 years 5 months ago
    TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
    Download  www-nlpir.nist.gov
    This paper describes our experiments for the high level feature extraction task in TRECVid 2007. We submitted the following five runs: • A jr1 1: Baseline run using early fusio...
    Roland Mörzinger, Georg Thallinger
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    TRECVID
    2007
    109views Internet Technology» more  TRECVID 2007»
    NII-ISM, Japan at TRECVID 2007: High Level Feature Extraction
    13 years 5 months ago
    NII-ISM, Japan at TRECVID 2007: High Level Feature Extraction
    Download  www-nlpir.nist.gov
    This paper reports our experiments on the concept detection task of TRECVID 2007. In these experiments, we have addressed two approaches which are selecting and fusing features and...
    Duy-Dinh Le, Shin'ichi Satoh, Tomoko Matsui
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    TRECVID
    2007
    115views Internet Technology» more  TRECVID 2007»
    TRECVID 2007 High-Level Feature Extraction By MCG-ICT-CAS
    13 years 5 months ago
    TRECVID 2007 High-Level Feature Extraction By MCG-ICT-CAS
    Download  www-nlpir.nist.gov
    Sheng Tang, Yong-Dong Zhang, Jin-Tao Li, Ming Li, ...
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    TRECVID
    2008
    146views Internet Technology» more  TRECVID 2008»
    TRECVid 2008 High Level Feature Extraction Experiments at JOANNEUM RESEARCH
    13 years 5 months ago
    TRECVid 2008 High Level Feature Extraction Experiments at JOANNEUM RESEARCH
    Download  www-nlpir.nist.gov
    This paper describes our experiments for the high level feature extraction task in TRECVid 2008. We submitted the following six runs:
    Roland Mörzinger, Georg Thallinger
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