Presentation | 2013-01-24 An Efficient Video Content Delivery Considering Visual Psychology Effects and Motion Information in a Scene Yuto GOTO, Eiji KAMIOKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This study proposes an efficient video content delivery technique using psychological effects of visual perception. Concretely, scene changes in a video content are automatically detected, and then the appropriate color depth and frame rate values are assigned to each scene for the purpose of the data reduction. This alleviates the transmission bit rate of the content without reducing the user satisfaction. The scene changes are detected by simply calculating the average image density in a deference frame between adjacent two frames. Therefore, it is possible to easily perform a transcodmg for the content at an intermediate network node. In this paper, the effectiveness of the proposed technique will be discussed through subjective evaluation expenments. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Scene change detection / User satisfaction / Frame rate / Visual psychology / Video content delivery |
Paper # | MoMuC2012-44 |
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Committee | MoMuC |
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Conference Date | 2013/1/17(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 | Mobile Multimedia Communications(MoMuC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Efficient Video Content Delivery Considering Visual Psychology Effects and Motion Information in a Scene |
Sub Title (in English) | |
Keyword(1) | Scene change detection |
Keyword(2) | User satisfaction |
Keyword(3) | Frame rate |
Keyword(4) | Visual psychology |
Keyword(5) | Video content delivery |
1st Author's Name | Yuto GOTO |
1st Author's Affiliation | Graduate School of Engmeenng and Science, Shibaura Institute of Technology() |
2nd Author's Name | Eiji KAMIOKA |
2nd Author's Affiliation | Graduate School of Engmeenng and Science, Shibaura Institute of Technology |
Date | 2013-01-24 |
Paper # | MoMuC2012-44 |
Volume (vol) | vol.112 |
Number (no) | 404 |
Page | pp.pp.- |
#Pages | 6 |
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