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Proceedings Paper

Modeling and optimization of a multiresolution remote image retrieval system
Author(s): Antonio Ortega; Zhensheng Zhang; Martin Vetterli
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Paper Abstract

We study the tradeoffs involved in choosing the bit allocation in a multiresolution remote image retrieval system. Such a system uses a multiresolution image coding scheme so that a user accessing the database will first see a coarse version of the images and will be able to accept or discard a given image faster, without needing to receive all the image data. We formalize the problem of choosing the bit allocation (e.g., in the two resolution case, how many bits should be given to the coarse image and the additional information, respectively?) so that the overall delay in the query is minimized. We provide analytical methods to find the optimal solution under different configurations and show how a good choice of the bit allocation results in a reduction of the overall delay in the query.

Paper Details

Date Published: 1 May 1994
PDF: 12 pages
Proc. SPIE 2186, Image and Video Compression, (1 May 1994); doi: 10.1117/12.173919
Show Author Affiliations
Antonio Ortega, Columbia Univ. (United States)
Zhensheng Zhang, Columbia Univ. (United States)
Martin Vetterli, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 2186:
Image and Video Compression
Majid Rabbani; Robert J. Safranek, Editor(s)

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