Presentation | 1999/10/22 A Study on an Attractiveness Evaluation Model based on the Physical Features of Image Regions Shoji Tanaka, Seiji Inokuchi, Yuichi Iwadate, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes an attractiveness evaluation model based on physical features of regions in a picture. This model uses heterogeneity of regions on color, texture, shape, and size, as well as their color, texture, and size as evaluation parameters. These parameters contributed remarkably to the attractiveness in our subjective experiments. The model calculates the level of attractiveness by first merging the parameters with weighted linear combination, and then providing the meged value to the Beta function which is one of the S curve functions. In our experiments, the model could properly estimate the level of attractiveness that human subjects evaluated. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Attractiveness / Attractiveness Estimation / Attractive Region / Attention / Human Vision |
Paper # | NC99-48 |
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Committee | NC |
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Conference Date | 1999/10/22(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on an Attractiveness Evaluation Model based on the Physical Features of Image Regions |
Sub Title (in English) | |
Keyword(1) | Attractiveness |
Keyword(2) | Attractiveness Estimation |
Keyword(3) | Attractive Region |
Keyword(4) | Attention |
Keyword(5) | Human Vision |
1st Author's Name | Shoji Tanaka |
1st Author's Affiliation | ATR Media Integration & Communications Research Laboratories() |
2nd Author's Name | Seiji Inokuchi |
2nd Author's Affiliation | Department of Systems and Human Science, Osaka University |
3rd Author's Name | Yuichi Iwadate |
3rd Author's Affiliation | ATR Media Integration & Communications Research Laboratories |
Date | 1999/10/22 |
Paper # | NC99-48 |
Volume (vol) | vol.99 |
Number (no) | 383 |
Page | pp.pp.- |
#Pages | 8 |
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