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Paper Abstract and Keywords
Presentation 2011-02-17 13:50
A Multi-modal, Multi-frame Approach for Semantic Indexing in TRECVID
Nakamasa Inoue, Yusuke Kamishima, Koichi Shinoda (Tokyo Tech) PRMU2010-212
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a multi-modal, multi-frame approach for semantic indexing in the TRECVID 2010 workshop. The goal of the semantic indexing is to develop a method for indexing many concepts that will be useful for video search. In this study, we implement a simple and accurate system by using Gaussian Mixture Model (GMM) supervectors with SIFT and MFCC features. The SIFT features are extracted not only from key-frames but also from many image frames in a shot in order to get the most out of multi-frame information. Our best result on the TRECVID 2010 dataset was 7.36% in terms of Mean Inferred Average Precision.
Keyword (in Japanese) (See Japanese page) 
(in English) Semantic Indexing / Multi-modal / Multi-frame / GMM Supervector / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 414, PRMU2010-212, pp. 25-30, Feb. 2011.
Paper # PRMU2010-212 
Date of Issue 2011-02-10 (PRMU) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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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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) A Multi-modal, Multi-frame Approach for Semantic Indexing in TRECVID 
Sub Title (in English)  
Keyword(1) Semantic Indexing  
Keyword(2) Multi-modal  
Keyword(3) Multi-frame  
Keyword(4) GMM Supervector  
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1st Author's Name Nakamasa Inoue  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yusuke Kamishima  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Koichi Shinoda  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2011-02-17 13:50:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2010-212 
Volume (vol) vol.110 
Number (no) no.414 
Page pp.25-30 
#Pages
Date of Issue 2011-02-10 (PRMU) 


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