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Paper Abstract and Keywords
Presentation 2013-06-10 13:30
Topic Models Taking into Account Burstiness of Local Features in Video
Yang Xie, Koji Eguchi (Kobe Univ.) PRMU2013-20
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we propose a topic model, Corr-DCMLDA, which can integrate visual words and the corresponding speech transcript words for key-frame images in each video data. Corr-DCMLDA has two distinguishing characteristics. One is the generative process that it first generates topics for visual words and then only the topics associated with the visual words are used to generate speech transcript words. The other is the assumption that the same latent topics are represented with different visual words and speech transcript words in different videos. We demonstrate through experiments on genre classification with online videos that Corr-DCMLDA works more effectively than some prior models.
Keyword (in Japanese) (See Japanese page) 
(in English) Video topic modeling / Dirichlet compound multinomial models / collapsed Gibbs sampling / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 75, PRMU2013-20, pp. 5-10, June 2013.
Paper # PRMU2013-20 
Date of Issue 2013-06-03 (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 PRMU2013-20

Conference Information
Committee PRMU  
Conference Date 2013-06-10 - 2013-06-11 
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 2013-06-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Topic Models Taking into Account Burstiness of Local Features in Video 
Sub Title (in English)  
Keyword(1) Video topic modeling  
Keyword(2) Dirichlet compound multinomial models  
Keyword(3) collapsed Gibbs sampling  
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1st Author's Name Yang Xie  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Koji Eguchi  
2nd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2013-06-10 13:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-20 
Volume (vol) vol.113 
Number (no) no.75 
Page pp.5-10 
#Pages 6 
Date of Issue 2013-06-03 (PRMU) 

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