Paper Abstract and Keywords |
Presentation |
2013-02-22 14:00
Video Semantic Indexing Using Video-Clip Scores and GMM Supervectors Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2012-168 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose a video-semantic-indexing system using video-clip scores and Gaussian-mixture-model (GMM) supervectors. The goal of semantic indexing is to detect high-level features such as objects, actions, and scenes. In video semantic indexing, an input video clip is usually first split into several shots, and then a high-level feature is independently detected for each shot in the video clip. However, the relationship between shots is not negligible since a high-level feature often re-appers in shots belonging to the same video clip. To effectively capture the re-appearance of a high-level feature, we propose a video-clip score shared among shots in a video clip as a prior score to detect the high-level feature. We introduce the video-clip scores to our semantic indexing system using GMM supervectors of six types of low-level features. Our experimantal evaluation on the TRECVID 2012 Semantic Indexing Task showed that the video-clip scores improved Mean Average Precision from 0.306 to 0.312. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
video search / semantic indexing / Gaussian mixture model / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-168, pp. 173-178, Feb. 2013. |
Paper # |
PRMU2012-168 |
Date of Issue |
2013-02-14 (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) |
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PRMU2012-168 |
Conference Information |
Committee |
PRMU |
Conference Date |
2013-02-21 - 2013-02-22 |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2013-02-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Video Semantic Indexing Using Video-Clip Scores and GMM Supervectors |
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video search |
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semantic indexing |
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Gaussian mixture model |
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1st Author's Name |
Nakamasa Inoue |
1st Author's Affiliation |
Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
2nd Author's Name |
Koichi Shinoda |
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Tokyo Institute of Technology (Tokyo Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2013-02-22 14:00:00 |
Presentation Time |
30 minutes |
Registration for |
PRMU |
Paper # |
PRMU2012-168 |
Volume (vol) |
vol.112 |
Number (no) |
no.441 |
Page |
pp.173-178 |
#Pages |
6 |
Date of Issue |
2013-02-14 (PRMU) |
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