Presentation | 2015-07-19 The classification of paintings by color statistics Masatoshi Kitaguchi, Masahiro Wakabayashi, Hiromichi Sato, Tomoyuki Naito, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Several studies reported that statistics of visual properties of paintings might be distinctive among painters, and that it was possible to classify painters by those statistics. However, it is still unclear which visual properties are important for the classification. In this study, using general support vector machine (SVM), we tried to classify painters of our image database (1050 landscape paintings of several painters). For learning, we used nine color-statistics (HSV color statistics, XYZ color statistics, and so on). Cross-validation test revealed that the SVM correctly classified the painters with ~65-90% accuracy. We also found that mean brightness and entropy of brightness played roles for the image classification. Our results suggested that combinations of a few color statistics might be effective for painting classification. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Painting / Color Statistic / Color Space / Emotion / Sensibility / Neuroesthetics |
Paper # | HIP2015-60 |
Date of Issue | 2015-07-11 (HIP) |
Conference Information | |
Committee | HIP |
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Conference Date | 2015/7/18(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Kyushu Sangyo University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Hideyuki Ando(Osaka Univ.) |
Vice Chair | Masahiro Ishii(Sapporo City Univ.) / Miyuki Kamachi(Kogakuin Univ.) |
Secretary | Masahiro Ishii(NICT) / Miyuki Kamachi(KDDI R&D Labs.) |
Assistant | Sinobu Kuroki(NTT) / Mutsumi Suganuma(Waseda Univ.) |
Paper Information | |
Registration To | Technical Committee on Human Information Processing |
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Language | ENG-JTITLE |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The classification of paintings by color statistics |
Sub Title (in English) | |
Keyword(1) | Painting |
Keyword(2) | Color Statistic |
Keyword(3) | Color Space |
Keyword(4) | Emotion |
Keyword(5) | Sensibility |
Keyword(6) | Neuroesthetics |
1st Author's Name | Masatoshi Kitaguchi |
1st Author's Affiliation | Osaka University(Osaka Univ.) |
2nd Author's Name | Masahiro Wakabayashi |
2nd Author's Affiliation | Osaka University(Osaka Univ.) |
3rd Author's Name | Hiromichi Sato |
3rd Author's Affiliation | Osaka University(Osaka Univ.) |
4th Author's Name | Tomoyuki Naito |
4th Author's Affiliation | Osaka University(Osaka Univ.) |
Date | 2015-07-19 |
Paper # | HIP2015-60 |
Volume (vol) | vol.115 |
Number (no) | HIP-149 |
Page | pp.pp.93-98(HIP), |
#Pages | 6 |
Date of Issue | 2015-07-11 (HIP) |