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Paper Abstract and Keywords
Presentation 2021-03-04 13:50
A method of Generating Color Palettes with Deep Neural Networks Considering Human Perception and Its Evaluation
Beiying Liu, Kaoru Arakawa (Meiji Univ.) SIS2020-46
Abstract (in Japanese) (See Japanese page) 
(in English) A method for generating color palettes from images is proposed and the obtained color palettes are evaluated both objectively and subjectively compared with conventional methods. The proposed methods utilizes deep neural networks (DNN) in order to consider human perception to the images. Two aspects of human perception are considered; one is attention and the other is preference to colors. Two deep neural-net systems are adopted here for each. The former is trained with target images obtained by an eye tracker, and the latter is trained with database of color selection by human. S and H components in the obtained color palettes are analyzed and also subjective test was performed by questionnaire to evaluate performance of the proposed method compared with conventional ones. It is shown that the proposed system is effective for realizing color palettes which reflect human perception to color images.
Keyword (in Japanese) (See Japanese page) 
(in English) color / perception / color palette / deep learning / gaze tracking / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 415, SIS2020-46, pp. 61-66, March 2021.
Paper # SIS2020-46 
Date of Issue 2021-02-25 (SIS) 
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)
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Conference Information
Committee SIS  
Conference Date 2021-03-04 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Soft Computing, etc. 
Paper Information
Registration To SIS 
Conference Code 2021-03-SIS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A method of Generating Color Palettes with Deep Neural Networks Considering Human Perception and Its Evaluation 
Sub Title (in English)  
Keyword(1) color  
Keyword(2) perception  
Keyword(3) color palette  
Keyword(4) deep learning  
Keyword(5) gaze tracking  
1st Author's Name Beiying Liu  
1st Author's Affiliation Meiji University (Meiji Univ.)
2nd Author's Name Kaoru Arakawa  
2nd Author's Affiliation Meiji University (Meiji Univ.)
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Date Time 2021-03-04 13:50:00 
Presentation Time 20 
Registration for SIS 
Paper # IEICE-SIS2020-46 
Volume (vol) IEICE-120 
Number (no) no.415 
Page pp.61-66 
#Pages IEICE-6 
Date of Issue IEICE-SIS-2021-02-25 

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