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| Presentation | 2009-11-27 09:00 High-level Feature Extraction from Video Using SIFT GMM and Acoustic Features Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui (Tokyo Inst. of Tech)  PRMU2009-106 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a statistical framework for high-level feature (HLF) extraction, which employs SIFT Gaussian Mixture Models (GMMs) and acoustic features. First, we model the distribution of SIFT features in each shot by a GMM. Second, we compute distance between shots which is defined as weighted sum of Maharanobis distance between the Gaussian components. Finally, we classify shots using a support vector machine where the kernel function is constructed by the distance described above. In addition, we use MFCC features and ergodic hidden Markov models to detect HLFs in audio streams. The best result obtained by using SIFT GMMs in terms of Mean Average Precision on the TRECVID2009 corpus was 0.141 and it was improved to 0.177 by using audio information. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | High-level feature extraction / SIFT / GMM / MFCC / HMM / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 109, no. 306, PRMU2009-106, pp. 97-102, Nov. 2009. | |
| Paper # | PRMU2009-106 | |
| Date of Issue | 2009-11-19 (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 | PRMU2009-106 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2009-11-26 - 2009-11-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ishikawa Industrial Promotion Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2009-11-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | High-level Feature Extraction from Video Using SIFT GMM and Acoustic Features |
| Sub Title (in English) | |
| Keyword(1) | High-level feature extraction |
| Keyword(2) | SIFT |
| Keyword(3) | GMM |
| Keyword(4) | MFCC |
| Keyword(5) | HMM |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Nakamasa Inoue |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech) |
| 2nd Author's Name | Tatsuhiko Saito |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech) |
| 3rd Author's Name | Koichi Shinoda |
| 3rd Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech) |
| 4th Author's Name | Sadaoki Furui |
| 4th Author's Affiliation | Tokyo Institute of Technology (Tokyo Inst. of Tech) |
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| Speaker | Author-1 |
| Date Time | 2009-11-27 09:00:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2009-106 |
| Volume (vol) | vol.109 |
| Number (no) | no.306 |
| Page | pp.97-102 |
| #Pages | 6 |
| Date of Issue | 2009-11-19 (PRMU) |
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