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Paper Abstract and Keywords
Presentation 2011-02-21 13:15
A note on keyword hierarchy construction using visual features and its application to image annotation
Marie Katsurai, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2010-35 IE2010-110
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a keyword hierarchy construction method and its application to automatic image annotation. This method takes advantage of the characteristic that keywords with high-level semantic meaning tend to high visial diversity across the corresponding image set. Based on this characteristic, the keyword hierarchy is constructed by using the following approach: First, a visual feature clustering method is applied to a set of images that are annotated with a target keyword. Then, a novel criterion that represents visual diversity of the keyword is introduced. Specifically, this criterion is calculated using both intra-cluster and inter-cluster visual similarities. Finally, the keyword hierarchy can be constructed by sorting the keyword criterions. Based on the obtained keyword hierarchy, low-level keywords are first estimated from visual features, and then high-level keywords are provided by using semantic relationships of the low-level keywords. This will improve performance of image annotation.
Keyword (in Japanese) (See Japanese page) 
(in English) keyword relationship extraction / automatic image annotation / visual diversity / / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 421, IE2010-110, pp. 69-72, Feb. 2011.
Paper # IE2010-110 
Date of Issue 2011-02-14 (ITS, IE) 
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 ITS2010-35 IE2010-110

Conference Information
Committee ITS IE ITE-AIT ITE-HI ITE-ME  
Conference Date 2011-02-21 - 2011-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2011-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on keyword hierarchy construction using visual features and its application to image annotation 
Sub Title (in English)  
Keyword(1) keyword relationship extraction  
Keyword(2) automatic image annotation  
Keyword(3) visual diversity  
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1st Author's Name Marie Katsurai  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Takahiro Ogawa  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Miki Haseyama  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2011-02-21 13:15:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # ITS2010-35, IE2010-110 
Volume (vol) vol.110 
Number (no) no.420(ITS), no.421(IE) 
Page pp.69-72 
#Pages
Date of Issue 2011-02-14 (ITS, IE) 


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