Presentation 2020-12-23
Estimation of preferences to images by facial expression analysis
Yuta Horaguchi, Yoshiyuki Sato, Satoshi Shioiri,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The purpose of the study is to use human facial expression for estimating high level human judgments by a computer, If we can extract human facial expressions related to each of human judgments, it becomes possible to estimate human judgments by analyzing face movies during decision making. The purpose of this research is to predict preference judgments of images from facial expression while evaluating images using machine learning methods. We performed preference estimation for images from Instagram and found that facial expression provides useful information for estimating human judgments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) AU(Action Unit) / facial expression analysis / machine learning
Paper # HIP2020-67
Date of Issue 2020-12-15 (HIP)

Conference Information
Committee HIP
Conference Date 2020/12/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shuichi Sakamoto(Tohoku Univ.)
Vice Chair Yuji Wada(Ritsumeikan Univ.) / Sachiko Kiyokawa(Nagoya Univ.)
Secretary Yuji Wada(NICT) / Sachiko Kiyokawa(NTT)
Assistant Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.)

Paper Information
Registration To Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of preferences to images by facial expression analysis
Sub Title (in English)
Keyword(1) AU(Action Unit)
Keyword(2) facial expression analysis
Keyword(3) machine learning
1st Author's Name Yuta Horaguchi
1st Author's Affiliation Tohoku University(Tohoku Univ.)
2nd Author's Name Yoshiyuki Sato
2nd Author's Affiliation Tohoku University(Tohoku Univ.)
3rd Author's Name Satoshi Shioiri
3rd Author's Affiliation Tohoku University(Tohoku Univ.)
Date 2020-12-23
Paper # HIP2020-67
Volume (vol) vol.120
Number (no) HIP-306
Page pp.pp.71-76(HIP),
#Pages 6
Date of Issue 2020-12-15 (HIP)