Progressive image indexing and retrieval based on embedded wavelet coding

Author

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

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

1

fYear

1997

Firstpage

572

Abstract

A complete wavelet-based image storage and indexing system is proposed in this research. The proposed indexing features take account of the color, brightness, texture, frequency, and spatial information of a given query image. All features can be naturally extracted as a byproduct during the image compression. Since coding and indexing are integrated in an unified framework in the proposed system, the database management is greatly simplified. Extensive experimental results are given to demonstrate the retrieval performance of the new approach

Keywords

data compression; feature extraction; image coding; image colour analysis; image texture; information retrieval; transform coding; visual databases; wavelet transforms; brightness; color; content based indexing; database management; embedded wavelet coding; frequency; image compression; image retrieval; image storage; progressive image indexing; progressive transmission; query image; retrieval performance; spatial information; texture; Frequency; Image coding; Image databases; Image retrieval; Image storage; Indexing; Multimedia databases; Quantization; Spatial databases; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.647977

Filename

647977