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 Japanese) | (See Japanese page) |
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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Conference Information | |
Committee | HIP |
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Conference Date | 2009/6/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Information Processing (HIP) |
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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 |
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