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| Presentation | 2011-02-17 15:30 Video Similarity Measuring using SIFT Trajectories without Pre-learning Process Hiroaki Kubo, Hideo Saito (Keio Univ.), Shin'ichi Satoh (NII)  PRMU2010-215 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Video Similarity / Non-learning / Marginal histogram / Keypoint-Trajectory / SIFT / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 414, PRMU2010-215, pp. 43-48, Feb. 2011. | |
| Paper # | PRMU2010-215 | |
| Date of Issue | 2011-02-10 (PRMU) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2010-215 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2011-02-17 - 2011-02-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2011-02-PRMU |
| Language | Japanese |
| 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 |
| Sub Title (in English) | |
| Keyword(1) | Video Similarity |
| Keyword(2) | Non-learning |
| Keyword(3) | Marginal histogram |
| Keyword(4) | Keypoint-Trajectory |
| Keyword(5) | SIFT |
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| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiroaki Kubo |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Hideo Saito |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
| 3rd Author's Name | Shin'ichi Satoh |
| 3rd Author's Affiliation | National Institute of Informatics (NII) |
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| Speaker | Author-1 |
| Date Time | 2011-02-17 15:30:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2010-215 |
| Volume (vol) | vol.110 |
| Number (no) | no.414 |
| Page | pp.43-48 |
| #Pages | 6 |
| Date of Issue | 2011-02-10 (PRMU) |
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