Presentation 2007-09-03
Model of visual attention for dynamic images
Daisuke TSURI, Masahiro ISHII, Zheng Tang, Kazuya YAMASHITA,
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Abstract(in English) We were specifying visual attention by making the static image a saliency map. However, the dynamic images have a lot of analytical elements. It is difficult to specify attention. In this research, we constructed the algorithm into which attention changed along with time. We forecast notes by using the natural images, and verified the effectiveness of our algorithm.
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Keyword(in English) Computer Vision / Visual attention / Motion analysis
Paper # PRMU2007-64,HIP2007-73
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Committee HIP
Conference Date 2007/8/27(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Model of visual attention for dynamic images
Sub Title (in English)
Keyword(1) Computer Vision
Keyword(2) Visual attention
Keyword(3) Motion analysis
1st Author's Name Daisuke TSURI
1st Author's Affiliation Graduate School of Science and Engineering Education, University of Toyama()
2nd Author's Name Masahiro ISHII
2nd Author's Affiliation Graduate School of Science and Engineering Education, University of Toyama
3rd Author's Name Zheng Tang
3rd Author's Affiliation Graduate School of Science and Engineering Education, University of Toyama
4th Author's Name Kazuya YAMASHITA
4th Author's Affiliation Graduate School of Science and Engineering Education, University of Toyama
Date 2007-09-03
Paper # PRMU2007-64,HIP2007-73
Volume (vol) vol.107
Number (no) 207
Page pp.pp.-
#Pages 4
Date of Issue