Wavelet-compressed image retrieval using successive approximation quantization (SAQ) features

Kai-Chieh Liang; C.-C. Jay Kuo

doi:10.1117/12.290341

6 October 1997 Wavelet-compressed image retrieval using successive approximation quantization (SAQ) features

Kai-Chieh Liang, C.-C. Jay Kuo

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290341
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

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.

Citation Download Citation

Kai-Chieh Liang and C.-C. Jay Kuo "Wavelet-compressed image retrieval using successive approximation quantization (SAQ) features", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290341

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