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Paper Abstract and Keywords
Presentation 2011-09-06 15:50
Improvement image annotation using geo information and image composition
Naoyuki Abe, Atsushi Shimada, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.) PRMU2011-82 IBISML2011-41
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, many researchers use collective intelligence of the web to study an image annotation problem. The image annotation problem is to assign a proper label into an unknown image. In the training process, many conventional methods use relationship between image features and label features extracted from all collective training data set. However, the training data set includes much unrelated data to the unknown image.Therefore, we use the unknown image's geo information and composition to eliminate unnecessary data. We report the result that we make a comparison between proposed method and the conventional method.
Keyword (in Japanese) (See Japanese page) 
(in English) Clickable Real World / Geo information / Image annotation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 193, PRMU2011-82, pp. 195-200, Sept. 2011.
Paper # PRMU2011-82 
Date of Issue 2011-08-29 (PRMU, IBISML) 
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 PRMU2011-82 IBISML2011-41

Conference Information
Committee PRMU IBISML IPSJ-CVIM  
Conference Date 2011-09-05 - 2011-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To PRMU 
Conference Code 2011-09-PRMU-IBISML-CVIM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement image annotation using geo information and image composition 
Sub Title (in English)
Keyword(1) Clickable Real World  
Keyword(2) Geo information  
Keyword(3) Image annotation  
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1st Author's Name Naoyuki Abe  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Atsushi Shimada  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Hajime Nagahara  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Rin-ichiro Taniguchi  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2011-09-06 15:50:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2011-82, IBISML2011-41 
Volume (vol) vol.111 
Number (no) no.193(PRMU), no.194(IBISML) 
Page pp.195-200 
#Pages
Date of Issue 2011-08-29 (PRMU, IBISML) 


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