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Ahmed H. Tewfik, Mitchell Swanson, Srinath Hosur. Coding For Content-Based Retrieval, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 96). Vol. IV 1996. pp. 1959-1962. Local File: pub/ccbr_icassp96.ps (221877 bytes)

 



Abstract: We develop a new coding technique for images and text documents that integrates content-based retrieval support directly into the compressed files. Furthermore, it minimizes a weighted sum of the expected compressed file size and expected query response time. Files are coded into three parts: a header consisting of all query terms which occur in the file, locations of the query terms, and remainder of the file. The file header is constructed by concatenating the codewords of a multiresolution representation of each query term which appear in that file. The coding algorithm completely specifies the relative position and length of all query terms codewords. 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, modification of compressed data, and query term location dependence.
Keywords: content-based retrieval, image databases, image coding, text coding
The article is also available at http://www.ee.umn.edu/users/mswanson/papers.html http://www.ee.umn.edu/groups/msp/subject/mmedia.html
Compressed: ftp://oz.ee.umn.edu/pub/tewfik/1996/multimedia/ccbr_icassp96.ps.Z

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