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Proceedings Paper

Implementation and performance evaluation of a progressive image retrieval system
Author(s): Kai-Chieh Liang; C.-C. Jay Kuo
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Paper Abstract

An integrated wavelet-based image storage and indexing system is proposed in this research. Indexing features of consideration contains the texture, color and spatial information of images. These features can be naturally extracted during the successive approximation quantization (SAQ) stage of the wavelet compression process. Extensive experimental results are performed to demonstrate the retrieval performance of the new approach.

Paper Details

Date Published: 23 December 1997
PDF: 12 pages
Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); doi: 10.1117/12.298465
Show Author Affiliations
Kai-Chieh Liang, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 3312:
Storage and Retrieval for Image and Video Databases VI
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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