Presentation 2002/1/17
A color, shape and texture fusion technique for Contents-based Image Retrieval
kousaku MORITA, Xian-Yana ZENG, Yen-Wei CHEN,
PDF Download Page PDF download Page Link
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
Date of Issue

Conference Information
Committee HIP
Conference Date 2002/1/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Human Information Processing (HIP)
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
Date of Issue