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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1402

Title: Region-based image retrieval using integrated color, shape, and location index
Authors: Prasad, B G
Biswas, K K
Gupta, S K
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
Issue Date: 2004
Citation: Computer Vision and Image Understanding, 94(1-3), 193-233
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.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/1402
Appears in Collections:Computer Science and Engineering

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