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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Computer Vision / Visual attention / Motion analysis |
Paper # | PRMU2007-64,HIP2007-73 |
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Committee | HIP |
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Conference Date | 2007/8/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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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 |
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