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IWVF
2001
Springer

Color and Shape Index for Region-Based Image Retrieval

11 years 6 months ago
Color and Shape Index for Region-Based Image Retrieval
Abstract. Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leading to more computational time and inefficient indexing and retrieval performance. This paper focuses on a low-dimensional color and shape based indexing technique for achieving efficient and effective retrieval performance. We propose a combined index using color and shape features. A new shape similarity measure is proposed which is shown to be more effective. Images are indexed by dominant color regions and similar images form an image cluster stored in a hash structure. Each region within an image is further indexed by a region-based shape index. The shape index is invariant to translation, rotation and scaling. A JAVA based query engine supporting query-byexample is built to retrieve images by color and shape. The retrieval performance is studied and compared with a region-based shape indexing scheme.
B. G. Prasad, S. K. Gupta, K. K. Biswas
Added 30 Jul 2010
Updated 30 Jul 2010
Type Conference
Year 2001
Where IWVF
Authors B. G. Prasad, S. K. Gupta, K. K. Biswas
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