Video segmentation in the wavelet compressed domain

Automatic video indexing is an important feature in the design of a video d atabase. Recently, compressed domain techniques have become popular due to their inherent advantages of efficiency and lower complexity. On the other hand, wavelet transform has emerged as a powerful tool for efficient compre ssion of visual information. A variety of wavelet-based video compression t echniques have been reported in the literature. However, there has been lit tle work done in the area of video indexing in the wavelet domain. In this paper, we present video segmentation techniques in a wavelet-based compress ion framework. These techniques employ wavelet coefficients, their distribu tion, and the motion vectors estimated by the associated video coder. Simul ation results show that the proposed techniques provide a good indexing per formance at a low complexity. (C) 2001 Academic Press.