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Paper Abstract and Keywords
Presentation 2010-09-22 13:00
A Study on Performance Improvement of Generic Object Recognition by Object Extraction
Tetsuya Fujikawa, Jiro Katto (Waseda Univ.) LOIS2010-28 IE2010-70
Abstract (in Japanese) (See Japanese page) 
(in English) In Bag-of-Keypoints method used in generic object recognition, we ordinarily derive SIFT features over the whole regions of images.
However, in some categories, information of background regions is not effective for recognition.
Therefore, in this paper, we investigate the effect of object extraction on the recognition rate of Bag-of-Keypoints.
Firstly, by using ground truth data of foreground objects, we found that classification rate can be improved by 7% in average and region extraction is effective for some categories but not for other categories.
Secondly, we propose a method to extract object regions automatically by using visual attention model prior to Bag-of-Keypoints.
Unfortunately, this method shows only 1.5% improvement mainly due to categories which need background regions.
Finally, we propose an adaptive method which selects foreground regions or whole image for SIFT feature description according to categories.
Experimental results show that above 7% improvement is furthermore expected against other methods described above.
Keyword (in Japanese) (See Japanese page) 
(in English) Generic Object Recognition / Bag-of-Keypoints / Object Extraction / Visual Attention Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 208, IE2010-70, pp. 73-78, Sept. 2010.
Paper # IE2010-70 
Date of Issue 2010-09-14 (LOIS, IE) 
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 IE LOIS ITE-ME IEE-CMN  
Conference Date 2010-09-21 - 2010-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2010-09-IE-LOIS-ME-CMN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Performance Improvement of Generic Object Recognition by Object Extraction 
Sub Title (in English)  
Keyword(1) Generic Object Recognition  
Keyword(2) Bag-of-Keypoints  
Keyword(3) Object Extraction  
Keyword(4) Visual Attention Model  
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Keyword(6)  
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1st Author's Name Tetsuya Fujikawa  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Jiro Katto  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2010-09-22 13:00:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # LOIS2010-28, IE2010-70 
Volume (vol) vol.110 
Number (no) no.207(LOIS), no.208(IE) 
Page pp.73-78 
#Pages 6 
Date of Issue 2010-09-14 (LOIS, IE) 

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