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Paper Abstract and Keywords
Presentation 2022-03-11 18:20
Impression Estimation Model for Suit Styles Using CNN Features
Kimiaki Shinkai (Kwansei Gakuin Univ.), Iori Tani (Kobe Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.) IMQ2021-69 IE2021-131 MVE2021-98
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, propose a method for estimating the impressions evoked by the style (texture and shape) of a suit for the purpose of a bespoke suit (recommendation) service.
We collected 3398 images of suits and used Random Forest to model the relationship between the subjective impressions of 25 words assigned by psychological experiments and CNN features (style features and content features) obtained from the images. The correlation coefficients between the subjective impression scores of the untrained data and the estimated impression scores calculated from the CNN features are obtained from the 9-fold cross-validation, and the results show moderately positive values, confirming the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) fashion / suit / CNN / style feature / content feature / impression estimation / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 423, MVE2021-98, pp. 312-317, March 2022.
Paper # MVE2021-98 
Date of Issue 2022-03-02 (IMQ, IE, MVE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 IMQ2021-69 IE2021-131 MVE2021-98

Conference Information
Committee CQ IMQ MVE IE  
Conference Date 2022-03-09 - 2022-03-11 
Place (in Japanese) (See Japanese page) 
Place (in English) Online (Zoom) 
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 2022-03-CQ-IMQ-MVE-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Impression Estimation Model for Suit Styles Using CNN Features 
Sub Title (in English)  
Keyword(1) fashion  
Keyword(2) suit  
Keyword(3) CNN  
Keyword(4) style feature  
Keyword(5) content feature  
Keyword(6) impression estimation  
1st Author's Name Kimiaki Shinkai  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Iori Tani  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Kensuke Tobitani  
3rd Author's Affiliation University of Nagasaki (Univ. of Nagasaki)
4th Author's Name Miyuki Toga  
4th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
5th Author's Name Noriko Nagata  
5th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
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Speaker Author-1 
Date Time 2022-03-11 18:20:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # IMQ2021-69, IE2021-131, MVE2021-98 
Volume (vol) vol.121 
Number (no) no.420(IMQ), no.422(IE), no.423(MVE) 
Page pp.312-317 
Date of Issue 2022-03-02 (IMQ, IE, MVE) 

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