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Paper Abstract and Keywords
Presentation 2015-07-19 11:20
The classification of paintings by color statistics
Masatoshi Kitaguchi, Masahiro Wakabayashi, Hiromichi Sato, Tomoyuki Naito (Osaka Univ.) HIP2015-60
Abstract (in Japanese) (See Japanese page) 
(in English) Several studies reported that statistics of visual properties of paintings might be distinctive among painters, and that it was possible to classify painters by those statistics. However, it is still unclear which visual properties are important for the classification. In this study, using general support vector machine (SVM), we tried to classify painters of our image database (1050 landscape paintings of several painters). For learning, we used nine color-statistics (HSV color statistics, XYZ color statistics, and so on). Cross-validation test revealed that the SVM correctly classified the painters with ~65-90% accuracy. We also found that mean brightness and entropy of brightness played roles for the image classification. Our results suggested that combinations of a few color statistics might be effective for painting classification.
Keyword (in Japanese) (See Japanese page) 
(in English) Painting / Color Statistic / Color Space / Emotion / Sensibility / Neuroesthetics / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 149, HIP2015-60, pp. 93-98, July 2015.
Paper # HIP2015-60 
Date of Issue 2015-07-11 (HIP) 
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 HIP  
Conference Date 2015-07-18 - 2015-07-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyushu Sangyo University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HIP 
Conference Code 2015-07-HIP 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The classification of paintings by color statistics 
Sub Title (in English)  
Keyword(1) Painting  
Keyword(2) Color Statistic  
Keyword(3) Color Space  
Keyword(4) Emotion  
Keyword(5) Sensibility  
Keyword(6) Neuroesthetics  
Keyword(7)  
Keyword(8)  
1st Author's Name Masatoshi Kitaguchi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Masahiro Wakabayashi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Hiromichi Sato  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Tomoyuki Naito  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2015-07-19 11:20:00 
Presentation Time 20 minutes 
Registration for HIP 
Paper # HIP2015-60 
Volume (vol) vol.115 
Number (no) no.149 
Page pp.93-98 
#Pages 6 
Date of Issue 2015-07-11 (HIP) 

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