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Paper Abstract and Keywords
Presentation 2014-01-23 17:30
Improvement og a Distance between Concepts using a Weighted Combination of Image Instances with Their Text Tags
Nozomi Masuhiro, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) PRMU2013-103 MVE2013-44
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, methods for calculating semantic distance between various concepts from a set of tagged images have been actively studied due to their applicability to image retrieval, clustering, annotation, and so on.
Most of the existing distance calculation methods can be divided into two categories: the methods based on tag co-occurrence and those based on visual features extracted from the images. The former has a drawback that two similar concepts do not necessarily co-occur as text tags even if they are concurrently presented in an image. On the other hand, the latter has a drawback that visual features do not correspond directly to semantic meaning of concepts due to the semantic gap, especially in the case with abstract concepts. To overcome these drawbacks, in this paper, we propose to combine the above two types of methods by adaptively weighting each of them according to the level of abstraction for each concept. In our experiments, our proposed method outperformed the methods using only either tag co-occurrence or visual features.
Keyword (in Japanese) (See Japanese page) 
(in English) distance between concepts / visual features / tag co-occurrence / level of abstraction / weighted sum / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 402, PRMU2013-103, pp. 131-136, Jan. 2014.
Paper # PRMU2013-103 
Date of Issue 2014-01-16 (PRMU, MVE) 
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)
Download PDF PRMU2013-103 MVE2013-44

Conference Information
Committee PRMU IPSJ-CVIM MVE  
Conference Date 2014-01-23 - 2014-01-24 
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 2014-01-PRMU-CVIM-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement og a Distance between Concepts using a Weighted Combination of Image Instances with Their Text Tags 
Sub Title (in English)  
Keyword(1) distance between concepts  
Keyword(2) visual features  
Keyword(3) tag co-occurrence  
Keyword(4) level of abstraction  
Keyword(5) weighted sum  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Nozomi Masuhiro  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Kazuaki Nakamura  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Noboru Babaguchi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2014-01-23 17:30:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2013-103, MVE2013-44 
Volume (vol) vol.113 
Number (no) no.402(PRMU), no.403(MVE) 
Page pp.131-136 
#Pages 6 
Date of Issue 2014-01-16 (PRMU, MVE) 

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