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Paper Abstract and Keywords
Presentation 2019-03-14 13:50
Aspect-Ratio-Preserving Multi-Patch Image Aesthetic Score Prediction.
Lijie Wang, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2018-37 IE2018-121 MVE2018-68
Abstract (in Japanese) (See Japanese page) 
(in English) According to the spread of Social Networking Services (SNS), there is the increasing demand for automatically selecting, editing or generating aesthetic images and it raises importance of evaluating image aesthetics. We propose a multi-patch image aesthetic score prediction method with preserving original aspect-ratios of original images. In the experiment with AVA dataset containing 250,000 images, our approach outperforms the existing method in image aesthetic score prediction, especially improved the linear correlation coefficient between predicted and ground truth aesthetic scores by 0.05. Noticeably, significant decrease in prediction errors is observed with images having minor aspect-ratios.
Keyword (in Japanese) (See Japanese page) 
(in English) image aesthetics / score distribution / EMD / multi-patch learning / deep learning / CNN / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 502, MVE2018-68, pp. 85-90, March 2019.
Paper # MVE2018-68 
Date of Issue 2019-03-07 (IMQ, IE, MVE) 
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 IMQ2018-37 IE2018-121 MVE2018-68

Conference Information
Committee IMQ IE MVE CQ  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Kagoshima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) media of five senses, multimedia, media experience, picture codinge, image media quality, network,quality and reliability, etc 
Paper Information
Registration To MVE 
Conference Code 2019-03-IMQ-IE-MVE-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Aspect-Ratio-Preserving Multi-Patch Image Aesthetic Score Prediction. 
Sub Title (in English)  
Keyword(1) image aesthetics  
Keyword(2) score distribution  
Keyword(3) EMD  
Keyword(4) multi-patch learning  
Keyword(5) deep learning  
Keyword(6) CNN  
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Keyword(8)  
1st Author's Name Lijie Wang  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Xueting Wang  
2nd Author's Affiliation The University of Tokyo (UTokyo)
3rd Author's Name Toshihiko Yamasaki  
3rd Author's Affiliation The University of Tokyo (UTokyo)
4th Author's Name Kiyoharu Aizawa  
4th Author's Affiliation The University of Tokyo (UTokyo)
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Speaker
Date Time 2019-03-14 13:50:00 
Presentation Time 25 
Registration for MVE 
Paper # IEICE-IMQ2018-37,IEICE-IE2018-121,IEICE-MVE2018-68 
Volume (vol) IEICE-118 
Number (no) no.500(IMQ), no.501(IE), no.502(MVE) 
Page pp.85-90 
#Pages IEICE-6 
Date of Issue IEICE-IMQ-2019-03-07,IEICE-IE-2019-03-07,IEICE-MVE-2019-03-07 


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