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    TRECVID
    2008
    156views Internet Technology» more  TRECVID 2008»
    Bilkent University Multimedia Database Group at TRECVID 2008
    13 years 9 months ago
    Bilkent University Multimedia Database Group at TRECVID 2008
    Download  www-nlpir.nist.gov
    Bilkent University Multimedia Database Group (BILMDG) participated in two tasks at TRECVID 2008: content-based copy detection (CBCD) and high-level feature extraction (FE). Mostly...
    Onur Kucuktunc, Muhammet Bastan, Ugur Güd&uum...
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    TRECVID
    2008
    162views Internet Technology» more  TRECVID 2008»
    Brno University of Technology at TRECVid 2008
    13 years 9 months ago
    Brno University of Technology at TRECVid 2008
    Download  www-nlpir.nist.gov
    In this paper we describe our experiments in all task of TRECVid 2008. This year, we have concentrated mainly on the local (affine covariant) image features and its transformation...
    Petr Chmelar, Vítezslav Beran, Adam Herout,...
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    TRECVID
    2008
    123views Internet Technology» more  TRECVID 2008»
    Peking University at TRECVID 2008: High Level Feature Extraction
    13 years 9 months ago
    Peking University at TRECVID 2008: High Level Feature Extraction
    Download  www-nlpir.nist.gov
    We participated in one task of TRECVID 2008, that is, the high-level feature extraction (HLFE). This paper presents our approaches and results on the HLFE task. We mainly focus on...
    Yuxin Peng, Zhiguo Yang, Jian Yi, Lei Cao, Hao Li,...
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    TRECVID
    2008
    142views Internet Technology» more  TRECVID 2008»
    Fudan University at TRECVID 2008
    13 years 9 months ago
    Fudan University at TRECVID 2008
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    Xiangyang Xue, Wei Zhang, Yue-Fei Guo, Hong Lu, Yu...
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    TRECVID
    2008
    159views Internet Technology» more  TRECVID 2008»
    Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
    13 years 9 months ago
    Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
    Download  www-nlpir.nist.gov
    This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
    Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...
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    TRECVID
    2008
    137views Internet Technology» more  TRECVID 2008»
    Dublin City University at TRECVID 2008
    13 years 9 months ago
    Dublin City University at TRECVID 2008
    Download  doras.dcu.ie
    In this paper we describe our system and experiments performed for both the automatic search task and the event detection task in TRECVid 2008. For the automatic search task for 2...
    Peter Wilkins, Philip Kelly, Ciarán O. Cona...
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    TRECVID
    2008
    160views Internet Technology» more  TRECVID 2008»
    The Orange Labs Real Time Video Copy Detection System - TrecVid 2008 Results
    13 years 9 months ago
    The Orange Labs Real Time Video Copy Detection System - TrecVid 2008 Results
    Download  www-nlpir.nist.gov
    In this paper, we describe the content-based video copy detection system developed at Orange Labs. We also present the evaluation results of the TrecVid 2008 copy detection evalua...
    Nicolas Gengembre, Sid-Ahmed Berrani
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    TRECVID
    2008
    148views Internet Technology» more  TRECVID 2008»
    ISM TRECVID2008 High-level Feature Extraction
    13 years 9 months ago
    ISM TRECVID2008 High-level Feature Extraction
    Download  www-nlpir.nist.gov
    We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
    Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...
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    TRECVID
    2008
    207views Internet Technology» more  TRECVID 2008»
    Learning TRECVID'08 High-Level Features from YouTube
    13 years 9 months ago
    Learning TRECVID'08 High-Level Features from YouTube
    Download  www-nlpir.nist.gov
    Run No. Run ID Run Description infMAP (%) training on TV08 data 1 IUPR-TV-M SIFT visual words with maximum entropy 6.1 2 IUPR-TV-MF SIFT with maximum entropy, fused with color+tex...
    Adrian Ulges, Christian Schulze, Markus Koch, Thom...
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    RIVF
    2007
    94views Internet Technology» more  RIVF 2007»
    Thai Speech Keyword Spotting using Heterogeneous Acoustic Modeling
    13 years 9 months ago
    Thai Speech Keyword Spotting using Heterogeneous Acoustic Modeling
    Download  cu-ocw.eng.chula.ac.th
    This paper illustrates the use of acoustic modeling of spoken dialog systems. One major problem with using speech three different structures, including syllables, fillers and recog...
    S. Tangruamsub, Proadpran Punyabukkana, Atiwong Su...
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