| Presentation | 2011-12-16 Toward High-Performance Video Semantic Indexing Nakamasa INOUE, Koichi SHINODA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | TokyoTech, in collaboration with Canon Inc., achieved the best performance in the Semantic Indexing task of TRECVID2011 hosted by the National Institute of Standards and Technology (NIST), outperforming 28 teams from all over the world. In this paper, we show the outline of TRECVID and the Semantic Indexing task, review our approaches in the past years, and explain our method developed this year. Our method first comprises GMM supervectors from audio-visual signals and inputs them into support vector machines to detect the features. This method successfully achieves robustness against differences in locations, movements, colors, shapes, angles, and brightness, etc. We utilize TokyoTech's supercomputer, TSUBAME, in large computation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | video search / semantic indexing / GMM supervector / SVM |
| Paper # | PRMU2011-140 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/12/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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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) | Toward High-Performance Video Semantic Indexing |
| Sub Title (in English) | |
| Keyword(1) | video search |
| Keyword(2) | semantic indexing |
| Keyword(3) | GMM supervector |
| Keyword(4) | SVM |
| 1st Author's Name | Nakamasa INOUE |
| 1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
| 2nd Author's Name | Koichi SHINODA |
| 2nd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
| Date | 2011-12-16 |
| Paper # | PRMU2011-140 |
| Volume (vol) | vol.111 |
| Number (no) | 353 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |