Presentation | 2002/1/17 A color, shape and texture fusion technique for Contents-based Image Retrieval kousaku MORITA, Xian-Yana ZENG, Yen-Wei CHEN, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In conventional contens-based image retrievals, the color and the shape or texture alone are used as features for image retrieval. These features are not suffieient for image retrieval. In this paper we propose a method for contents-based image retrieval. We use a PCA template to extract the feature of texture. A neural network is used for retrieval based on color, shape and texture features. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image Features / Image Retrieval / Image Database / texture / Neural Network |
Paper # | 2001-HIP-91 |
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Committee | HIP |
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Conference Date | 2002/1/17(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) | A color, shape and texture fusion technique for Contents-based Image Retrieval |
Sub Title (in English) | |
Keyword(1) | Image Features |
Keyword(2) | Image Retrieval |
Keyword(3) | Image Database |
Keyword(4) | texture |
Keyword(5) | Neural Network |
1st Author's Name | kousaku MORITA |
1st Author's Affiliation | Graduate school of Engineering and Science, Univ.of the Ryukyus() |
2nd Author's Name | Xian-Yana ZENG |
2nd Author's Affiliation | Graduate school of Engineering and Science, Univ.of the Ryukyus |
3rd Author's Name | Yen-Wei CHEN |
3rd Author's Affiliation | Graduate school of Engineering and Science, Univ.of the Ryukyus |
Date | 2002/1/17 |
Paper # | 2001-HIP-91 |
Volume (vol) | vol.101 |
Number (no) | 594 |
Page | pp.pp.- |
#Pages | 6 |
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