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

Authors:
B. G. Prasad;K. K. Biswas;S. K. Gupta
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi 110 016, India;Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi 110 016, India;Department of Computer Science and Engineering, Indian Institute of Technology, New Delhi 110 016, India
Venue:
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Year:
2004

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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.