Presentation | 2009-04-27 High Speed Video Clip Retrieval Method based on the Tiny LSH and Direct-Mapped Cache Noboru MURABAYASHI, Kenichi YOSHIDA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The wide spread use of the broad band network has been the realization of a new video service infrastructure. Although there are promising business opportunities, the infringement of copyrighted videos increases the importance of their detection methods. The technical challenge is the vastness of the video data. In this paper, we propose a content-based copied video detection method which has a high speed retrieval time linked to the size of the video data. The experimental results show its accuracy and short retrieval time on altered video data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | video retrieval / image feature / audio feature / Locality-sensitive hashing / Direct-Mapped Cache / pointer |
Paper # | IE2009-1 |
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Committee | IE |
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Conference Date | 2009/4/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | High Speed Video Clip Retrieval Method based on the Tiny LSH and Direct-Mapped Cache |
Sub Title (in English) | |
Keyword(1) | video retrieval |
Keyword(2) | image feature |
Keyword(3) | audio feature |
Keyword(4) | Locality-sensitive hashing |
Keyword(5) | Direct-Mapped Cache |
Keyword(6) | pointer |
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 | 2009-04-27 |
Paper # | IE2009-1 |
Volume (vol) | vol.109 |
Number (no) | 21 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |