Modeling and optimization of a multiresolution remote image retrieval system

Antonio Ortega; Zhensheng Zhang; Martin Vetterli

doi:10.1117/12.173919

1 May 1994 Modeling and optimization of a multiresolution remote image retrieval system

Antonio Ortega, Zhensheng Zhang, Martin Vetterli

Proceedings Volume 2186, Image and Video Compression; (1994) https://doi.org/10.1117/12.173919
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Antonio Ortega, Zhensheng Zhang, and Martin Vetterli "Modeling and optimization of a multiresolution remote image retrieval system", Proc. SPIE 2186, Image and Video Compression, (1 May 1994); https://doi.org/10.1117/12.173919

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