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Paper Abstract and Keywords
Presentation 2012-12-12 16:05
Online Video Annotation Game with Active Learning and Tag Ranking
Yui Watanabe (Kobe Univ.), Kimiaki Shirahama (Muroran Tech.), Kuniaki Uehara (Kobe Univ.) DE2012-27
Abstract (in Japanese) (See Japanese page) 
(in English) In order to build a classifier which can accurately detect the presence of a concept in videos, a large number of training examples are required where each example is manually annotated with the presence or absence of the concept. However, it is laborious to collect many training examples for each of various concepts. To overcome this, an online video annotation game developed by focusing on numerous users on the Web. If this game is played worldwide by many users, a large number of training examples can be efficiently collected. Even though many users are available for annotation, it is important to maximize the efficiency of training example collection. Thus, active learning is used to preferentially annotate examples which are promising for improving the detection performance of a concept. Also, tag recommendation is used to avoid annotation for meaningless concepts. Experimental results indicate the effectiveness of our video annotation game using active learning and tag recommendation.
Keyword (in Japanese) (See Japanese page) 
(in English) Video Annotaiton / Game with a Purpose / Active Learning / Tag Recommendation / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 346, DE2012-27, pp. 73-78, Dec. 2012.
Paper # DE2012-27 
Date of Issue 2012-12-05 (DE) 
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 DE2012-27

Conference Information
Committee DE  
Conference Date 2012-12-12 - 2012-12-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Campus Plaza Kyoto 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Big Data & Social Computing, etc. 
Paper Information
Registration To DE 
Conference Code 2012-12-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Online Video Annotation Game with Active Learning and Tag Ranking 
Sub Title (in English)  
Keyword(1) Video Annotaiton  
Keyword(2) Game with a Purpose  
Keyword(3) Active Learning  
Keyword(4) Tag Recommendation  
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1st Author's Name Yui Watanabe  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Kimiaki Shirahama  
2nd Author's Affiliation Muroran Institute of Technology (Muroran Tech.)
3rd Author's Name Kuniaki Uehara  
3rd Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2012-12-12 16:05:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2012-27 
Volume (vol) vol.112 
Number (no) no.346 
Page pp.73-78 
#Pages 6 
Date of Issue 2012-12-05 (DE) 

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