Block-based, memory-efficient JPEG2000 images indexing in compressed-domain

Author

Xiong, Ziyou ; Huang, Thomas S.

Author_Institution

Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA

fYear

2002

fDate

2002

Firstpage

92

Lastpage

95

Abstract

The contribution of this paper is the development of a fast, block-based JPEG2000 image indexing system in the compressed domain which achieves high memory efficiency. By high memory efficiency we mean the entire wavelet-decomposed coefficient matrix never needs to be buffered. The feature extracted is the variance of each rectangular block in the compressed domain. The extraction of this feature is of very low complexity. Retrieval performance on the VisTex image database has shown its effectiveness

Keywords

data compression; database indexing; feature extraction; image coding; image retrieval; visual databases; wavelet transforms; JPEG2000; VisTex image database; block-based image indexing; complexity; compressed domain; feature extraction; memory efficiency; performance; wavelet decomposed coefficient matrix; Discrete wavelet transforms; Feature extraction; Image coding; Image databases; Image retrieval; Indexing; Information retrieval; Transform coding; Wavelet coefficients; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on

Conference_Location

Sante Fe, NM

Print_ISBN

0-7695-1537-1

Type

conf

DOI

10.1109/IAI.2002.999896

Filename

999896