Presentation 2005-11-18
Automatic Indexing of Sports Contents Based on Perceptual Clustering
Masayuki KIMURA, Masaki YAMAUCHI, Jun OHMIYA, Eiji FUKUMIYA, Junji NISHIKAWA,
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Abstract(in English) In this paper, we propose an image clustering method called perceptual clustering. Our method extracts the region of interest and classifies images by features in the region. Our method uses the region where attracts human attention with high priority, and we applied our method to some sports contents and achieved higher accuracy than the conventional approach. So our method enables the automatic indexing based on the clustering result by adding very simple rules.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Perceptual Clustering / Chaptering / Indexing / Region of Interest
Paper # PRMU2005-122
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Conference Information
Committee PRMU
Conference Date 2005/11/11(1days)
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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) Automatic Indexing of Sports Contents Based on Perceptual Clustering
Sub Title (in English)
Keyword(1) Perceptual Clustering
Keyword(2) Chaptering
Keyword(3) Indexing
Keyword(4) Region of Interest
1st Author's Name Masayuki KIMURA
1st Author's Affiliation AV Core Technology Development Center, Mathushita Electric Industrial. Co., Ltd.()
2nd Author's Name Masaki YAMAUCHI
2nd Author's Affiliation AV Core Technology Development Center, Mathushita Electric Industrial. Co., Ltd.
3rd Author's Name Jun OHMIYA
3rd Author's Affiliation AV Core Technology Development Center, Mathushita Electric Industrial. Co., Ltd.
4th Author's Name Eiji FUKUMIYA
4th Author's Affiliation AV Core Technology Development Center, Mathushita Electric Industrial. Co., Ltd.
5th Author's Name Junji NISHIKAWA
5th Author's Affiliation AV Core Technology Development Center, Mathushita Electric Industrial. Co., Ltd.
Date 2005-11-18
Paper # PRMU2005-122
Volume (vol) vol.105
Number (no) 415
Page pp.pp.-
#Pages 5
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