Using browsing to improve content-based image retrieval

Jesse S. Jin; Ruth Kurniawati; Guang-you Xu; Xuesheng Bai

doi:10.1117/12.325805

5 October 1998 Using browsing to improve content-based image retrieval

Jesse S. Jin, Ruth Kurniawati, Guang-you Xu, Xuesheng Bai

Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325805
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

Many content-based methods have been proposed to retrieve images from multimedia databases. Current index structures, such as R*-tree, SS-tree and SS⁺-tree, have a large overlapping area among their nodes, especially at the high level of the indexing tree. The overlapping area causes the search engine to compare a large number of nodes and hence, it is very inefficient to retrieve at very high levels of the index tree. We present a scheme to combine browsing with retrieval in searching for images. The browser uses the content-based index structure of image databases. It provides users with a visual tool to narrow the search quickly to a small region and to avoid a large number of comparisons. Combined with retrieval, it produces a very efficient content-based retrieval method.

Citation Download Citation

Jesse S. Jin, Ruth Kurniawati, Guang-you Xu, and Xuesheng Bai "Using browsing to improve content-based image retrieval", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325805

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