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Paper Abstract and Keywords
Presentation 2019-02-20 13:45
A Note on Eye Gaze-based Estimation of Emotion Evoked by Watching Images -- Performance Improvement via Feature Transformation Based on KDLPCCA --
Taiga Matsui, Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents an estimation method for emotion evoked by watching images focused on non-linear correlations of between gaze and visual features. The proposed method estimates the emotion using novel visual features obtained from original visual features projected to space that is maximized correlations of between gaze and visual features by Kernel Discriminative Locality Preserving Canonical Correlation Analysis (KDLPCCA). In the proposed method, the realization of accurate emotion estimation can be expected, since KDLPCCA performs the calculation of the novel visual features considering non-linear correlation, class information, and locality.
Keyword (in Japanese) (See Japanese page) 
(in English) emotion estimation / gaze data / Kernel Discriminative Locality Preserving Canonical Correlation Analysis / / / / /  
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Conference Information
Committee ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT  
Conference Date 2019-02-19 - 2019-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To ITE-ME 
Conference Code 2019-02-ME-IE-ITS-MMS-HI-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Eye Gaze-based Estimation of Emotion Evoked by Watching Images 
Sub Title (in English) Performance Improvement via Feature Transformation Based on KDLPCCA 
Keyword(1) emotion estimation  
Keyword(2) gaze data  
Keyword(3) Kernel Discriminative Locality Preserving Canonical Correlation Analysis  
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1st Author's Name Taiga Matsui  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Naoki Saito  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Satoshi Asamizu  
4th Author's Affiliation National Institute of Technology, Kushiro College (NIT, Kushiro College)
5th Author's Name Miki Haseyama  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2019-02-20 13:45:00 
Presentation Time 15 minutes 
Registration for ITE-ME 
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Volume (vol) vol.118 
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