Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images

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 the 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.