Title :
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
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;
Conference_Titel :
Image Analysis and Interpretation, 2002. Proceedings. Fifth IEEE Southwest Symposium on
Conference_Location :
Sante Fe, NM
Print_ISBN :
0-7695-1537-1
DOI :
10.1109/IAI.2002.999896
