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    TRECVID
    2007
    132views Internet Technology» more  TRECVID 2007»
    TRECVID 2007 High Level Feature Extraction experiments at JOANNEUM RESEARCH
    15 years 5 days 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
    2008
    146views Internet Technology» more  TRECVID 2008»
    TRECVid 2008 High Level Feature Extraction Experiments at JOANNEUM RESEARCH
    15 years 13 days 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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    TRECVID
    2007
    118views Internet Technology» more  TRECVID 2007»
    High-Level Feature Extraction Experiments for TRECVID 2007
    15 years 5 days 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
    115views Internet Technology» more  TRECVID 2007»
    TRECVID 2007 High-Level Feature Extraction By MCG-ICT-CAS
    15 years 5 days 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
    2007
    109views Internet Technology» more  TRECVID 2007»
    NII-ISM, Japan at TRECVID 2007: High Level Feature Extraction
    15 years 5 days 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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