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Proceedings Paper

Using browsing to improve content-based image retrieval
Author(s): Jesse S. Jin; Ruth Kurniawati; Guang-you Xu; Xuesheng Bai
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Paper 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.

Paper Details

Date Published: 5 October 1998
PDF: 9 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325805
Show Author Affiliations
Jesse S. Jin, Univ. of New South Wales (Australia)
Ruth Kurniawati, Univ. of New South Wales (Australia)
Guang-you Xu, Tsinghua Univ. (China)
Xuesheng Bai, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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