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Proceedings Paper

Image coding for content-based retrieval
Author(s): Mitchell D. Swanson; Srinath Hosur; Ahmed H. Tewfik
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Paper Abstract

We develop a new coding technique for content-based retrieval of images and text documents which minimizes a weighted sum of the expected compressed file size and query response time. Files are coded into three parts: (1) a header consisting of concatenated query term codewords, (2) locations of the query terms, and (3) the remainder of the file. The coding algorithm specifies the relative position and codeword length of all query terms. Our approach leads to a progressive refinement retrieval by successively reducing the number of searched files as more bits are read. It also supports progressive transmission.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233177
Show Author Affiliations
Mitchell D. Swanson, Univ. of Minnesota/Twin Cities (United States)
Srinath Hosur, Univ. of Minnesota/Twin Cities (United States)
Ahmed H. Tewfik, Univ. of Minnesota/Twin Cities (United States)


Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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