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Region-based image retrieval using integrated color, shape, and location index

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Author: Prasad, B G; Biswas, K K; Gupta, S K

Advisor: Advisor

Date: 2004

Publisher:
Citation: Computer V

Series/Report no.:
Item Type: Article

Keywords: Indexing techniques; Image database; Content-based image retrieval; Color-based feature selection; Color image segmentation; Color image indexing; Combining color and shape information; Integrated color–shape–location index

Abstract: A technique to retrieve images by region matching using a combined feature index based on color, shape, and location is presented within the framework of MPEG-7. Dominant regions within each image are indexed using integrated color, shape, and location features. Various combinations of regions are also indexed. The resulting indices and related metadata are stored in a Hash structure, where similar images tend to form clusters. The retrieval process is non-cascading and images can be retrieved based on color, shape or location and also based on a combined color–shape–location index. Results obtained show that retrieval effectiveness increases in non-cascaded region-based querying by combined index.

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Shankar B. Chavan
Computer Applications Division
Central Library, IIT Delhi
shankar.chavan@library.iitd.ac.in
NDLTD
Shodhganga
NDL
ePrints@IISc
etd@IISc
IR@IIT Bombay
NewsClips @IITD
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