Presentation 2011-02-17
A Report on the TRECVID 2010 Content-Based Copy Detection Task
Ryo MUKAI, Takayuki KUROZUMI, Kaoru HIRAMATSU, Takahito KAWANISHI, Hidehisa NAGANO, Kunio KASHINO,
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Abstract(in English) In this paper, we describe our approaches that were tested in the TRECVID 2010 Content-Based Copy Detection (CBCD) task. We introduce a method consisting of a feature degeneration and sparse feature selection process for video detection tasks, which is highly robust as regards video signal distortion. For audio detection tasks, we adopt a method based on spectral partitioning to cope with additive interfering sounds. Both methods are key techniques for our Robust Media Search (RMS) technology. Evaluation results show the effectiveness of our methods.
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Keyword(in English) TRECVID / copy detection / media search / audio search / video search
Paper # PRMU2010-217
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Conference Information
Committee PRMU
Conference Date 2011/2/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Report on the TRECVID 2010 Content-Based Copy Detection Task
Sub Title (in English)
Keyword(1) TRECVID
Keyword(2) copy detection
Keyword(3) media search
Keyword(4) audio search
Keyword(5) video search
1st Author's Name Ryo MUKAI
1st Author's Affiliation NTT Communication Science Laboratories, NTT Corporation()
2nd Author's Name Takayuki KUROZUMI
2nd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
3rd Author's Name Kaoru HIRAMATSU
3rd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
4th Author's Name Takahito KAWANISHI
4th Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
5th Author's Name Hidehisa NAGANO
5th Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
6th Author's Name Kunio KASHINO
6th Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
Date 2011-02-17
Paper # PRMU2010-217
Volume (vol) vol.110
Number (no) 414
Page pp.pp.-
#Pages 6
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