Joint Motion Estimation / Segmentationfor Object - Based Video

A video coding scheme is presented in which the coding is performed on individual moving objects. A Markov Random Field model is employed in nding the motion and boundaries of the objects. By guiding the object segmentation process with the spatial color information , meaningful objects representative of the real video scene are extracted. Furthermore, this enables a systematic treatment in handling the covered/uncovered regions , as well as the appearance/disappearance of moving objects. The rate for transmitting object motion and boundary is greatly reduced by use of temporal updating. The interior coding is performed by object-based subband decomposition. Simulations indicate promising results for low bitrate applications.