Presentation | 2011-06-07 Video retrieval method based on the improved Tiny LSH using image and audio features Noboru MURABAYASHI, Kenichi YOSHIDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The rapid spread of the broad band internet increases the importance of the copied video detection method from large-scale video data base. In this paper, we propose an improvement of Tiny LSH method using image and audio features. The experiment results for 109.5 hours real video contents shows good retrieval performance. When the video clip length is 30 seconds, the retrieval accuracy rate was improved about 19% compared with the conventional Tiny LSH method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | copyrighted video / image feature / audio feature / Locality-sensitive hashing / direct-mapped cache |
Paper # | DE2011-23,PRMU2011-54 |
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Committee | PRMU |
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Conference Date | 2011/5/30(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Video retrieval method based on the improved Tiny LSH using image and audio features |
Sub Title (in English) | |
Keyword(1) | copyrighted video |
Keyword(2) | image feature |
Keyword(3) | audio feature |
Keyword(4) | Locality-sensitive hashing |
Keyword(5) | direct-mapped cache |
1st Author's Name | Noboru MURABAYASHI |
1st Author's Affiliation | Graduate School of Business Sciences, University of Tsukuba() |
2nd Author's Name | Kenichi YOSHIDA |
2nd Author's Affiliation | Graduate School of Business Sciences, University of Tsukuba |
Date | 2011-06-07 |
Paper # | DE2011-23,PRMU2011-54 |
Volume (vol) | vol.111 |
Number (no) | 77 |
Page | pp.pp.- |
#Pages | 6 |
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