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Proceedings Paper

Wavelet-compressed image retrieval using successive approximation quantization (SAQ) features
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 color, brightness, texture, and spatial information of images. These features can be naturally extracted during the successive approximation quantization stage of the wavelet compression process. Extensive experimental results are performed to demonstrate the retrieval performance of the new approach.

Paper Details

Date Published: 6 October 1997
PDF: 12 pages
Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); doi: 10.1117/12.290341
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. 3229:
Multimedia Storage and Archiving Systems II
C.-C. Jay Kuo; Shih-Fu Chang; Venkat N. Gudivada, Editor(s)

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