Presentation 2021-03-04
A method of Generating Color Palettes with Deep Neural Networks Considering Human Perception and Its Evaluation
Beiying Liu, Kaoru Arakawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) color / perception / color palette / deep learning / gaze tracking
Paper # SIS2020-46
Date of Issue 2021-02-25 (SIS)

Conference Information
Committee SIS
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Soft Computing, etc.
Chair Noriaki Suetake(Yamaguchi Univ.)
Vice Chair Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.)
Secretary Tomoaki Kimura(Kindai Univ.) / Naoto Sasaoka(National Inst. of Tech., Ube College)
Assistant Yukihiro Bandoh(NTT) / Soh Yoshida(Kansai Univ.)

Paper Information
Registration To Technical Committee on Smart Info-Media Systems
Language ENG-JTITLE
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.)
Date 2021-03-04
Paper # SIS2020-46
Volume (vol) vol.120
Number (no) SIS-415
Page pp.pp.61-66(SIS),
#Pages 6
Date of Issue 2021-02-25 (SIS)