| Presentation | 2013/8/26 Investigating individual differences in learning-based visual saliency models BINBIN YE, YUSUKE SUGANO, YOICHI SATO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Learning-based approaches for modeling visual saliency using a data set of human fixations are becoming increasingly popular in recent years. However, most of the prior studies do not consider individual differences in visual attention, which might potentially improve the fixation prediction performance of learned models. By taking the visual saliency model which incorporates visual field characteristics as an example, we investigate individual differences by statistically comparing different saliency models learned using person-dependent training data sets. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Visual saliency / visual attention / individual difference / statistical hypoyhesis test |
| Paper # | Vol.2013-CVIM-188No.12 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2013/8/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigating individual differences in learning-based visual saliency models |
| Sub Title (in English) | |
| Keyword(1) | Visual saliency |
| Keyword(2) | visual attention |
| Keyword(3) | individual difference |
| Keyword(4) | statistical hypoyhesis test |
| 1st Author's Name | BINBIN YE |
| 1st Author's Affiliation | Institute of Industrial Science, the University of Tokyo() |
| 2nd Author's Name | YUSUKE SUGANO |
| 2nd Author's Affiliation | Institute of Industrial Science, the University of Tokyo |
| 3rd Author's Name | YOICHI SATO |
| 3rd Author's Affiliation | Institute of Industrial Science, the University of Tokyo |
| Date | 2013/8/26 |
| Paper # | Vol.2013-CVIM-188No.12 |
| Volume (vol) | vol.113 |
| Number (no) | 197 |
| Page | pp.pp.- |
| #Pages | 6 |
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