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

Author

Xiong, Ziyou ; Huang, Thomas S.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

fYear

2002

fDate

2002

Firstpage

290

Lastpage

294

Abstract

The contribution of this paper is the development of a fast, subband-based JPEG2000 image indexing system in the compressed domain which achieves high memory efficiency. This is the extended work on a previously block-based indexing system. The feature extracted is variance of each wavelet subband in the compressed domain with the emphasis that subbands are not buffered to maintain memory efficiency. Retrieval performance on VisTex image database indexing has shown the effectiveness and speed up of execution of the proposed features

Keywords

code standards; data compression; database indexing; feature extraction; image coding; image retrieval; transform coding; visual databases; wavelet transforms; JPEG2000; VisTex image database; feature extraction; image compression; memory efficiency; retrieval performance; speed up; subband-based image indexing; wavelet subband variance; Decoding; Discrete wavelet transforms; Feature extraction; Image coding; Image databases; Image retrieval; Indexing; Information retrieval; Transform coding; 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.2002.999935

Filename

999935