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Paper Abstract and Keywords
Presentation 2010-02-15 16:15
A note on an accurate video retrieval method based on Web community extraction -- Introduction of clustering method using similarity between features of video materials --
Yasutaka Hatakeyama, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro Nati Coll. of Tech.), Miki Haseyama (Hokkaido Univ.) ITS2009-59 IE2009-153
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes an accurate retrieval method based on Web community
extraction introducing clustering of video materials using their similarities.
In the proposed method, on the basis of
visual and audio features of video materials and
textual features obtained from Web pages including them,
link relationship are weighted by similarities between their features.
Next, by applying link analysis to the weighted link relationships,
Web communities containing video materials whose topics are similar to
each other can be extracted. Furthermore, the video materials which belong to
a same Web community are clustered based on similarities between their
features. Then, in the proposed method, users can effectively retrieve
video materials which are similar to desired video materials using
their features. Consequently, the proposed method enables users to
effectively retrieve the video materials whose topics and
features are similar to each other.
Keyword (in Japanese) (See Japanese page) 
(in English) Web community extraction / link analysis / video retrieval / clustering / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 415, IE2009-153, pp. 129-132, Feb. 2010.
Paper # IE2009-153 
Date of Issue 2010-02-08 (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 ITS2009-59 IE2009-153

Conference Information
Committee ITE-AIT IE ITE-HI ITE-ME ITS  
Conference Date 2010-02-15 - 2010-02-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Graduate School of Information and Technology, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2010-02-AIT-IE-HI-ME-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on an accurate video retrieval method based on Web community extraction 
Sub Title (in English) Introduction of clustering method using similarity between features of video materials 
Keyword(1) Web community extraction  
Keyword(2) link analysis  
Keyword(3) video retrieval  
Keyword(4) clustering  
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1st Author's Name Yasutaka Hatakeyama  
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 Satoshi Asamizu  
3rd Author's Affiliation Kushiro National College of Technology (Kushiro Nati Coll. of Tech.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2010-02-15 16:15:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # ITS2009-59, IE2009-153 
Volume (vol) vol.109 
Number (no) no.414(ITS), no.415(IE) 
Page pp.129-132 
#Pages
Date of Issue 2010-02-08 (ITS, IE) 


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