| Presentation | 2011-02-17 Video Similarity Measuring using SIFT Trajectories without Pre-learning Process Learning-Free video Retrieval Hiroaki KUBO, Hideo SAITO, Shin'ichi SATOH, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Video similarity is a basic technique of scene/object recognition. To extract discriminative features from videos, recent popular methods handle videos with visual words i.e., vector quantized descriptors. However, the performance of vector quantization depends on the pre-learning, especially on the clustering. In this paper, we propose a novel video similarity measurement by using marginal distribution on the feature space. Our method uses key-point trajectories extracted from videos and represents videos as histogram representing marginal distribution. Video similarity is defined as combination of similarities between marginal distributions. We tested our method by similar video retrieval tasks. Our method retrieved a kind of hommaged videos which have modified background, are heavyly encoded, rewited by hand and so on. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Video Similarity / Non-learning / Vector Quantization / Keypoint-Trajectory / SIFT |
| Paper # | PRMU2010-215 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/2/10(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 | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Video Similarity Measuring using SIFT Trajectories without Pre-learning Process Learning-Free video Retrieval |
| Sub Title (in English) | |
| Keyword(1) | Video Similarity |
| Keyword(2) | Non-learning |
| Keyword(3) | Vector Quantization |
| Keyword(4) | Keypoint-Trajectory |
| Keyword(5) | SIFT |
| 1st Author's Name | Hiroaki KUBO |
| 1st Author's Affiliation | Science and Technology of Keio University() |
| 2nd Author's Name | Hideo SAITO |
| 2nd Author's Affiliation | Science and Technology of Keio University |
| 3rd Author's Name | Shin'ichi SATOH |
| 3rd Author's Affiliation | National Institute of Informatics |
| Date | 2011-02-17 |
| Paper # | PRMU2010-215 |
| Volume (vol) | vol.110 |
| Number (no) | 414 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |