Presentation 2018-03-08
Eye-Gaze Differences and Saliency Prediction Across Different age Groups
Onkar Krishna, Kiyoharu Aizawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The human visual system has developed the ability to process a scene by selecting the most relevant parts of the scene unconsciously. This mechanism is called selective attention, and has been developed in order to quickly spot danger. Only within the last 10-15 years, researchers in computer vision exploited the concept of human selective attention for computational models of saliency prediction. However, the saliency models developed so far have considered only adult observers and do not generalize well to the observers of different age groups. We developed a framework to analyze eye-movement behavior of observers belonging to different age groups while they explored the scene. Analysis results were used to develop age adapted saliency models. Our results suggest that the proposed age-adapted saliency model outperforms existing saliency models in predicting the regions of interest across age groups.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Saliency / Fixations / Visual Perception / Eye-movement
Paper # IMQ2017-37,IE2017-129,MVE2017-79
Date of Issue 2018-03-01 (IMQ, IE, MVE)

Conference Information
Committee CQ / MVE / IE / IMQ
Conference Date 2018/3/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Industry Support Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Five Senses Media, Cooking and Eating Activities Media, Multimedia, Media Experience, Video Encoding, Image Media Quality, Network Quality and Reliability, etc. (Co-sponsor: Technical Committee on Multimedia on Cooking and Eating Activities (CEA))
Chair Takanori Hayashi(Hiroshima Inst. of Tech.) / Yoshinari Kameda(Univ. of Tsukuba) / Takayuki Hamamoto(Tokyo Univ. of Science) / Kenji Sugiyama(Seikei Univ.)
Vice Chair Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT) / Kenji Mase(Nagoya Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Mitsuru Maeda(Canon)
Secretary Hideyuki Shimonishi(NTT) / Jun Okamoto(Keio Univ.) / Kenji Mase(Kyoto Univ.) / Kazuya Kodama(NTT) / Hideaki Kimata(Kyushu Univ.) / Toshiya Nakaguchi(Nagoya Univ.) / Mitsuru Maeda(KDDI Research)
Assistant Kenko Ota(Nippon Inst. of Tech.) / Norihiro Fukumoto(KDDI Research Inc.) / Ryo Yamamoto(UEC) / Takatsugu Hirayama(Nagoya Univ.) / Ryosuke Aoki(NTT) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT) / Masaru Tsuchida(NTT) / Gosuke Ohashi(Shizuoka Univ.)

Paper Information
Registration To Technical Committee on Communication Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering / Technical Committee on Image Media Quality
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Eye-Gaze Differences and Saliency Prediction Across Different age Groups
Sub Title (in English)
Keyword(1) Saliency
Keyword(2) Fixations
Keyword(3) Visual Perception
Keyword(4) Eye-movement
1st Author's Name Onkar Krishna
1st Author's Affiliation The University of Tokyo(Univ. of Tokyo)
2nd Author's Name Kiyoharu Aizawa
2nd Author's Affiliation The University of Tokyo(Univ. of Tokyo)
Date 2018-03-08
Paper # IMQ2017-37,IE2017-129,MVE2017-79
Volume (vol) vol.117
Number (no) IMQ-483,IE-484,MVE-485
Page pp.pp.67-72(IMQ), pp.67-72(IE), pp.67-72(MVE),
#Pages 6
Date of Issue 2018-03-01 (IMQ, IE, MVE)