Region based image retrieval method

Yao Wei Wang; Li Kun Zou; Li Min Su; Sen Lin Luo

Region based image retrieval method

Yao Wei Wang^*, Li Kun Zou, Li Min Su, Sen Lin Luo

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

Abstract

A region based image retrieval method is proposed. Not only local and overall features are used in the method, but spatial constraints arc also employed. Experimental data are composed of 1 000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three methods namely the global color feature, color and spatial constraints, as well as the color/texture with constraints are compared. An amount of noise is introduced to test the robustness of the method. Experimental results show that the method is robust and effective.

Original language	English
Pages (from-to)	97-99
Number of pages	3
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	27
Issue number	SUPPL. 1
Publication status	Published - May 2007

Keywords

Region based image retrieval
Regions of Interest

Cite this

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title = "Region based image retrieval method",

abstract = "A region based image retrieval method is proposed. Not only local and overall features are used in the method, but spatial constraints arc also employed. Experimental data are composed of 1 000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three methods namely the global color feature, color and spatial constraints, as well as the color/texture with constraints are compared. An amount of noise is introduced to test the robustness of the method. Experimental results show that the method is robust and effective.",

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author = "Wang, {Yao Wei} and Zou, {Li Kun} and Su, {Li Min} and Luo, {Sen Lin}",

year = "2007",

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AU - Wang, Yao Wei

AU - Zou, Li Kun

AU - Su, Li Min

AU - Luo, Sen Lin

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AB - A region based image retrieval method is proposed. Not only local and overall features are used in the method, but spatial constraints arc also employed. Experimental data are composed of 1 000 images from Corel and 1000 I frames extracted from CCTV and MPEG-7 videos. Three methods namely the global color feature, color and spatial constraints, as well as the color/texture with constraints are compared. An amount of noise is introduced to test the robustness of the method. Experimental results show that the method is robust and effective.

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KW - Regions of Interest

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JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - SUPPL. 1

ER -

Region based image retrieval method

Abstract

Keywords

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