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Journal of Electronic Imaging

Fast progressively refined image retrieval
Author(s): Mitchell D. Swanson; Ahmed H. Tewfik
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Paper Abstract

We develop a new image representation which combines support for coding and content-based retrieval. The algorithm minimizes a weighted sum of the expected compressed file size and query response time. Our approach leads to a progressive refinement retrieval by successively reducing the number of searched files as more bits are read. Furthermore, no distance computations are required during a query. Only simple bit pattern comparisons are required. In our experimental results based on a 1.4 Mbyte image database, the number of bits read during a typical retrieval was less than 1000 bytes (less than 0.08% of the database). The approach supports compressed data modification and low-bit-rate high quality browsing.

Paper Details

Date Published: 1 July 1998
PDF: 10 pages
J. Electron. Imaging. 7(3) doi: 10.1117/1.482611
Published in: Journal of Electronic Imaging Volume 7, Issue 3
Show Author Affiliations
Mitchell D. Swanson, Cognicity, Inc. (United States)
Ahmed H. Tewfik, Univ. of Minnesota/Twin Cities (United States)


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