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Paper Abstract and Keywords
Presentation 2012-10-04 09:00
Efficient Labeling Method Using Clustering For Image Recognition
Ryo Shirasu, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2012-51
Abstract (in Japanese) (See Japanese page) 
(in English) Recent years, with the rapid popularization of digital cameras, the amount of photo data that individuals can keep has grown to a huge amount.
In order to organize them efficiently, it is necessary to develop methods and technologies that can recognize their contents.
In this work, we focus on reducing the manual labeling effort that is necessary for such image recognition task.
The key idea is that features that are characteristic for the "common classes" are also discriminative for classifying "specific class", and can help to find the photo which is "worth for labeling".
Our proposed method consists of two steps:
1) select the features that are effective in classifying "common classes" through SVM training;
and 2) use the selected features to find photos that are "worth for labeling" in the photo album through clustering.
We tested the proposed method in image recognition task on a large photo album which consists of 21424 photos taken from a kindergarten.
The result confirmed that the proposed method outperform the baseline methods under different experiment setting.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Recognition / Clustering / Labeling / Feature Selection / Active Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 225, PRMU2012-51, pp. 1-6, Oct. 2012.
Paper # PRMU2012-51 
Date of Issue 2012-09-27 (PRMU) 
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)
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Conference Information
Committee PRMU  
Conference Date 2012-10-04 - 2012-10-05 
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 2012-10-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient Labeling Method Using Clustering For Image Recognition 
Sub Title (in English)  
Keyword(1) Image Recognition  
Keyword(2) Clustering  
Keyword(3) Labeling  
Keyword(4) Feature Selection  
Keyword(5) Active Learning  
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1st Author's Name Ryo Shirasu  
1st Author's Affiliation Nagoya University (Nagoya Univ.)
2nd Author's Name Jien Kato  
2nd Author's Affiliation Nagoya University (Nagoya Univ.)
3rd Author's Name Kenji Mase  
3rd Author's Affiliation Nagoya University (Nagoya Univ.)
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Speaker Author-1 
Date Time 2012-10-04 09:00:00 
Presentation Time 30 minutes 
Registration for PRMU 
Paper # PRMU2012-51 
Volume (vol) vol.112 
Number (no) no.225 
Page pp.1-6 
#Pages 6 
Date of Issue 2012-09-27 (PRMU) 

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