| Presentation | 2014-03-13 Velocity Pyramid for Event Detection Zhuolin LIANG, Nakamasa INOUE, Koichi SHINODA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a new motion feature, a velocity pyramid, for multimedia event detection. In an event which is a complex human activity, motion information is an important cue. However, most of the conventional motion features are too expensive when applied to event detection. Spatial pyramid matching introduces coarse geometric information into the Bag of Features framework. A velocity pyramid, which is motivated from spatial pyramid, can represent rough dynamic information. The idea is to categorize densely sampled features according to their velocity direction. It is effective for detecting events characterized by their temporal patterns. Experiments on the MED (Multimedia Event Detection) task of the TRECVID workshop have shown 20% improvement of the performance by velocity pyramid. Further, when combined with spatial pyramid, velocity pyramid provided an extra 5% gains to the detection performance. Also when compared with other motion features, the computation cost is reduced while keeping the performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Event detection / spatial pyramid / temporal analysis / GMM supervectors |
| Paper # | PRMU2013-170 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2014/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Velocity Pyramid for Event Detection |
| Sub Title (in English) | |
| Keyword(1) | Event detection |
| Keyword(2) | spatial pyramid |
| Keyword(3) | temporal analysis |
| Keyword(4) | GMM supervectors |
| 1st Author's Name | Zhuolin LIANG |
| 1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
| 2nd Author's Name | Nakamasa INOUE |
| 2nd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
| 3rd Author's Name | Koichi SHINODA |
| 3rd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
| Date | 2014-03-13 |
| Paper # | PRMU2013-170 |
| Volume (vol) | vol.113 |
| Number (no) | 493 |
| Page | pp.pp.- |
| #Pages | 6 |
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