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Paper Abstract and Keywords
Presentation 2013-02-21 11:00
INDIVIDUAL PREFERENCE ANALYSIS WITH SOCIALITY-AWARE TOPIC MODEL FOR PERSONALIZED IMAGE RETRIVAL
Kaori Kataoka, Akisato Kimura, Kazuhiko Murasaki, Kyoko Sudo, Yukinobu Taniguchi (NTT) PRMU2012-133
Abstract (in Japanese) (See Japanese page) 
(in English) We proposed a novel method for personalized image retrieval that ranks search results in the order of the individual preference estimated from a collection of images on social curation platforms. Our contributions are two folds: (1) the introduction of a topic model with socially curated image collections as training data, and (2) taking into account the difference of individual preference between objects and backgrounds through visual attention estimation. A collection of socially curated contents is promising to analyze various kinds of multimedia information, since it is a manually filtered, organized and maintained collection of individual interests. This enables us to estimate individual preference without any other side information such as text tags and search logs. Several experiments confirmed our method well modeled user preferences as compared with other existing methods relying only on visual features.
Keyword (in Japanese) (See Japanese page) 
(in English) Image search / Individual’s preference / Topic model / Saliency map / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 441, PRMU2012-133, pp. 19-24, Feb. 2013.
Paper # PRMU2012-133 
Date of Issue 2013-02-14 (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 2013-02-21 - 2013-02-22 
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 2013-02-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) INDIVIDUAL PREFERENCE ANALYSIS WITH SOCIALITY-AWARE TOPIC MODEL FOR PERSONALIZED IMAGE RETRIVAL 
Sub Title (in English)  
Keyword(1) Image search  
Keyword(2) Individual’s preference  
Keyword(3) Topic model  
Keyword(4) Saliency map  
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1st Author's Name Kaori Kataoka  
1st Author's Affiliation NTT Media Intelligence Laboratories (NTT)
2nd Author's Name Akisato Kimura  
2nd Author's Affiliation NTT Communication Science Laboratories (NTT)
3rd Author's Name Kazuhiko Murasaki  
3rd Author's Affiliation NTT Media Intelligence Laboratories (NTT)
4th Author's Name Kyoko Sudo  
4th Author's Affiliation NTT Media Intelligence Laboratories (NTT)
5th Author's Name Yukinobu Taniguchi  
5th Author's Affiliation NTT Media Intelligence Laboratories (NTT)
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Speaker Author-1 
Date Time 2013-02-21 11:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-133 
Volume (vol) vol.112 
Number (no) no.441 
Page pp.19-24 
#Pages
Date of Issue 2013-02-14 (PRMU) 


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