Presentation 2019-07-19
A Note on User-specific Visual Attention Estimation Based on Visual and Spatial Information in Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a consideration of the number of nearest neighbors in our estimation method for user-specific visual attention based on visual and spatial information in images. In order to estimate the user-specific visual attention, the proposed method calculates two kinds of saliency maps which are based on visual similarity and spatial information, respectively. The proposed method performs a fusion of these two maps and calculates the new saliency map based on these information. Then, in order to consider the visual similarity, the proposed method searches the training patches similar to each test patch obtained from the test image. The number of searched training patches is an important parameter in the proposed method. However, our previous work does not investigate the influence of the number of searched training patches. This paper investigates this influence and performs the consideration.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Eye gaze data / Visual attention estimation / Fixation map / Visual feature / Machine learning
Paper # IMQ2019-3,HIP2019-31
Date of Issue 2019-07-12 (IMQ, HIP)

Conference Information
Committee IMQ / HIP
Conference Date 2019/7/19(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Satellite Campus, Sapporo City University
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Media Quality and Human Information Processing
Chair Toshiya Nakaguchi(Chiba Univ.) / Miyuki Kamachi(Kogakuin Univ.)
Vice Chair Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Shuichi Sakamoto(Tohoku Univ.) / Yuji Wada(Ritsumeikan Univ.)
Secretary Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Shuichi Sakamoto(NICT) / Yuji Wada(NTT)
Assistant Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Atsushi Wada(NICT) / Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.)

Paper Information
Registration To Technical Committee on Image Media Quality / Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on User-specific Visual Attention Estimation Based on Visual and Spatial Information in Images
Sub Title (in English) A Study on Relationship between Estimation Performance and the Similarity of Visual Features
Keyword(1) Eye gaze data
Keyword(2) Visual attention estimation
Keyword(3) Fixation map
Keyword(4) Visual feature
Keyword(5) Machine learning
1st Author's Name Yuya Moroto
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Keisuke Maeda
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 Miki Haseyama
4th Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2019-07-19
Paper # IMQ2019-3,HIP2019-31
Volume (vol) vol.119
Number (no) IMQ-131,HIP-132
Page pp.pp.13-16(IMQ), pp.13-16(HIP),
#Pages 4
Date of Issue 2019-07-12 (IMQ, HIP)