A ROI approach for hybrid image sequence coding

In this paper we present an approach of selective compression of an image sequence based on a priori selection of region(s) of interest (ROI). This method relies on a given motion-based segmentation analysis. The problem of selective compression based on the concept of inhomogeneous spatial reconstruction quality is considered in the context of hybrid DPCM subband coding. Both spatial and frequency localization of the subband representation are explicitly used. Hierarchical compression is applied through adaptive quantization in the spatio-frequency domain. A weighted distortion metric is used to introduce both a priori and velocity-based visual masking