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Paper Abstract and Keywords
Presentation 2009-11-26 11:10
Semantics-Based Search from Global Features of Web Images and Texts -- Toward a novel approach to realization of generic image recognition on the Web --
Yoshitaka Ushiku, Hideki Nakayama (Tokyo Univ.), Tatsuya Harada (Tokyo Univ./JST), Yasuo Kuniyoshi (Tokyo Univ.) PRMU2009-100
Abstract (in Japanese) (See Japanese page) 
(in English) In these days, methods for generic image recognition are actively researched. Many works use web images as training data because a large amount of data is necessary for its realization. In this paper, we consider describing an input image using texts associated with the images which have similar latent meaning. This is realized by nearest search based on latent variables of global features extracted from web images and texts. Learning method based on the probabilistic canonical correlation analysis makes it possible to learn from a large amount of data. Experiments on a dataset collected from a news site show the superiority of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Web mining / similar image search / probabilistic canonical correlation analysis / / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 306, PRMU2009-100, pp. 45-50, Nov. 2009.
Paper # PRMU2009-100 
Date of Issue 2009-11-19 (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 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) Semantics-Based Search from Global Features of Web Images and Texts 
Sub Title (in English) Toward a novel approach to realization of generic image recognition on the Web 
Keyword(1) Web mining  
Keyword(2) similar image search  
Keyword(3) probabilistic canonical correlation analysis  
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1st Author's Name Yoshitaka Ushiku  
1st Author's Affiliation The University of Tokyo (Tokyo Univ.)
2nd Author's Name Hideki Nakayama  
2nd Author's Affiliation The University of Tokyo (Tokyo Univ.)
3rd Author's Name Tatsuya Harada  
3rd Author's Affiliation The University of Tokyo/JST PRESTO (Tokyo Univ./JST)
4th Author's Name Yasuo Kuniyoshi  
4th Author's Affiliation The University of Tokyo (Tokyo Univ.)
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Date Time 2009-11-26 11:10:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2009-100 
Volume (vol) vol.109 
Number (no) no.306 
Page pp.45-50 
#Pages
Date of Issue 2009-11-19 (PRMU) 


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