Presentation 2009-06-15
Evaluation of Video Abstraction Based on Pupil Size and Gazing Point
Kok-Meng ONG, Wataru KAMEYAMA,
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Abstract(in English) With the exponential increase of digital video volume, it is crucial to have a system to automatically generate video abstract that would enable viewers to skim the video archives efficiently. In this paper, we propose to generate video abstract based on viewers' perception. The viewers' perception is obtained by modeling their pupil sizes and gazing points while watching the video. An Attention Fusion Function is applied to the models to obtain the final attention curve, and video abstracts are created. Based on subjective evaluation, the generated video skims are rated 67.38 efficiently representing the original video, and an average score of 56.10 for the automatically generated key-frames.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Gaze / Pupil / Video Abstraction / Affect
Paper # HIP2009-55
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Committee HIP
Conference Date 2009/6/8(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation of Video Abstraction Based on Pupil Size and Gazing Point
Sub Title (in English)
Keyword(1) Gaze
Keyword(2) Pupil
Keyword(3) Video Abstraction
Keyword(4) Affect
1st Author's Name Kok-Meng ONG
1st Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University()
2nd Author's Name Wataru KAMEYAMA
2nd Author's Affiliation Graduate School of Global Information and Telecommunication Studies, Waseda University
Date 2009-06-15
Paper # HIP2009-55
Volume (vol) vol.109
Number (no) 83
Page pp.pp.-
#Pages 6
Date of Issue