Presentation 2011-02-18
Evaluation for Multi-View Images Based on Quality-of-View
Yuki NAGAI, Takafumi MARUTANI, Shoji KAJITA, Kenji MASE,
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Abstract(in English) Multi-view video makes users possible to watch sports events more freely. However, users should select a camera which captures the best view every time, and some users who don't know well how to watch multi-viewer might be confused. In this paper, we propose an assistant method for multi-camera view. We define a measure, Quality-of-View (QoV). This measure evaluates a degree of user's interest for a image. We will be able to compose the best view video for a user by using QoV. QoV evaluates the size, centricity and frontality of a user's target.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multi-View Video / Multi-Camera / Assistance for Viewing / Image Evaluation / Camera Selection
Paper # PRMU2010-231
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Conference Information
Committee PRMU
Conference Date 2011/2/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Evaluation for Multi-View Images Based on Quality-of-View
Sub Title (in English)
Keyword(1) Multi-View Video
Keyword(2) Multi-Camera
Keyword(3) Assistance for Viewing
Keyword(4) Image Evaluation
Keyword(5) Camera Selection
1st Author's Name Yuki NAGAI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Takafumi MARUTANI
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Shoji KAJITA
3rd Author's Affiliation Information Communication Technologies and Servies
4th Author's Name Kenji MASE
4th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2011-02-18
Paper # PRMU2010-231
Volume (vol) vol.110
Number (no) 414
Page pp.pp.-
#Pages 6
Date of Issue