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Paper Abstract and Keywords
Presentation 2020-09-09 14:00
Shitsukan Representation Based on Kansei Model Using Neural Style Feature
Natsuki Sunda, Iori Tani (Kwansei Gakuin Univ.), Kensuke Tobitani (The Univ. of Nagasaki), Atsushi Takemoto, Yusuke Tani, Noriko Nagata (Kwansei Gakuin Univ.), Nobufumi Morita (Couture Digital) MVE2020-18
Abstract (in Japanese) (See Japanese page) 
(in English) In this research, we focus on affective texture, which comprises the visual impressions evoked by surface properties, such as fine patterns and roughness, and propose a method for texture synthesis with desired affective texture. First, we modeled the relationships using a lasso regression between affective texture quantified by psychological experiments and style features which are texture features extracted from CNN. After that, based on the obtained models, we performed texture synthesis by manipulating style features that contribute to the affective texture. As a result, the generation results matched human intuition, confirming the effectiveness of our method.
Keyword (in Japanese) (See Japanese page) 
(in English) Affective Texture / Texture Synthesis / Fashion / CNN / Style Transfer / Lasso Regression / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 160, MVE2020-18, pp. 38-43, Sept. 2020.
Paper # MVE2020-18 
Date of Issue 2020-09-01 (MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 MVE  
Conference Date 2020-09-08 - 2020-09-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MVE 
Conference Code 2020-09-MVE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Shitsukan Representation Based on Kansei Model Using Neural Style Feature 
Sub Title (in English)  
Keyword(1) Affective Texture  
Keyword(2) Texture Synthesis  
Keyword(3) Fashion  
Keyword(4) CNN  
Keyword(5) Style Transfer  
Keyword(6) Lasso Regression  
Keyword(7)  
Keyword(8)  
1st Author's Name Natsuki Sunda  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Iori Tani  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
3rd Author's Name Kensuke Tobitani  
3rd Author's Affiliation University of Nagasaki (The Univ. of Nagasaki)
4th Author's Name Atsushi Takemoto  
4th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
5th Author's Name Yusuke Tani  
5th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
6th Author's Name Noriko Nagata  
6th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
7th Author's Name Nobufumi Morita  
7th Author's Affiliation Couture Digital Ltd. (Couture Digital)
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Speaker Author-1 
Date Time 2020-09-09 14:00:00 
Presentation Time 25 minutes 
Registration for MVE 
Paper # MVE2020-18 
Volume (vol) vol.120 
Number (no) no.160 
Page pp.38-43 
#Pages
Date of Issue 2020-09-01 (MVE) 


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