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

被引:65
作者
Prasad, BG [1 ]
Biswas, KK [1 ]
Gupta, SK [1 ]
机构
[1] Indian Inst Technol, Dept Comp Sci & Engn, New Delhi 110016, India
关键词
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;
D O I
10.1016/j.cviu.2003.10.016
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:193 / 233
页数:41
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