Coding Image Sequence Intensities along Motion Trajectories using EC-CELP Quantization

The goal of this work is to investigate a high quality , low bit rate image sequence coding scheme which takes full advantage of the temporal redundancies. Such schemes will be important for high-compression video coding, such as the one studied in MPEG-4. In conventional image sequence coding, a motion-compensated DPCM connguration is used to remove the temporal redundancies. The performance of the DPCM for such highly correlated sources at rates below one bps degenerates substantially. We have recently shown that for a highly correlated Gauss-Markov source, practical near rate-distortion function performance is possible. We used the entropy-constrained code-excited linear predictive (EC-CELP) quan-tization scheme to obtain such performances. Hence for low rate image sequence coding, to improve the rate-distortion performance, an EC-CELP conngura-tion can replace the DPCM connguration to quantize the image intensities along motion trajectories. To apply EC-CELP quantization, we rst investigate the methods of motion trajectory estimation and propose a temporal block motion compensation connguration. Then, the performance advantage of EC-CELP con-guration over the conventional DPCM structures is shown.