Paper
27 February 1996 Image coding for content-based retrieval
Mitchell D. Swanson, Srinath Hosur, Ahmed H. Tewfik
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233177
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mitchell D. Swanson, Srinath Hosur, and Ahmed H. Tewfik "Image coding for content-based retrieval", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233177
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Cited by 8 scholarly publications.
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KEYWORDS
Image compression

Image retrieval

Image segmentation

Databases

Image transmission

Quantization

Image storage

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