Image compression for fast wavelet-based subregion retrieval

被引：0
|
作者：
Poulakidas, AS [1 ]
Srinivasan, A [1 ]
Egecioglu, Ö [1 ]
Ibarra, O [1 ]
Yang, T [1 ]
机构：
[1] Univ Calif Santa Barbara, Dept Comp Sci, Santa Barbara, CA 93106 USA
来源：
THEORETICAL COMPUTER SCIENCE | 2000年 / 240卷 / 02期
关键词：
image compression; wavelet; subregion retrieval; digital library; quadtrees; Huffman code;
D O I：
10.1016/S0304-3975(99)00242-X
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In an image browsing environment there is need for progressively viewing image subregions at various resolutions. We describe a storage scheme that accomplishes good image compression, while supporting fast image subregion retrieval. We evaluate analytically and experimentally the compression performance of our algorithm. We also provide results on the speed of the algorithm to demonstrate its effectiveness, and present an extension to a client/server environment. (C) 2000 Elsevier Science B.V. All rights reserved.
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页码：447 / 469
页数：23
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