Presentation | 2012-07-19 Similar Video Retrieval Method based on the Coarsened SURF Noboru MURABAYASHI, Kenichi YOSHIDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Supposing video frame size is 720 × 480 and video retrieval are conducted using local features, there are thousands of key points within a frame image. Therefore a large amount of memory capacity required. To cope with this problem we propose similar video retrieval method based on the coarsened SURF. SURF processing are conducted in a size of 90 × 60 thumbnail frame image. After this processing, coarsened SURF data are created based on the binary processing. Experiment result shows average detection accuracy is 90%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SURF / coarsen / direct-mapped cache / hash / keypoint |
Paper # | MoMuC2012-14,IE2012-39 |
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Committee | MoMuC |
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Conference Date | 2012/7/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mobile Multimedia Communications(MoMuC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Similar Video Retrieval Method based on the Coarsened SURF |
Sub Title (in English) | |
Keyword(1) | SURF |
Keyword(2) | coarsen |
Keyword(3) | direct-mapped cache |
Keyword(4) | hash |
Keyword(5) | keypoint |
1st Author's Name | Noboru MURABAYASHI |
1st Author's Affiliation | Information and Scocial Science Research Group, Graduate School of Business Sciences, University of Tsukuba() |
2nd Author's Name | Kenichi YOSHIDA |
2nd Author's Affiliation | Information and Scocial Science Research Group, Graduate School of Business Sciences, University of Tsukuba |
Date | 2012-07-19 |
Paper # | MoMuC2012-14,IE2012-39 |
Volume (vol) | vol.112 |
Number (no) | 135 |
Page | pp.pp.- |
#Pages | 6 |
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