Multiple description video coding using correlation optimized temporal sampling

We propose a novel multiple description video coding scheme based on pre-and post-processing of video sequences without modifying the actual coding process itself,thus making it compatible with the current standard coding.In pre-processing,adaptive modes of temporal sampling are employed to regulate the motion change between frames before performing odd/even frame splitting,which facilitates good estimation of lost frames in post-processing after side decoding.Significantly,given a central distortion,rate-distortion optimization with Lagrangian formulation is applied in pre-processing to achieve a good tradeoff between bit rate and side distortion.Furthermore,to simplify Lagrangian optimization,a new optimization criterion is proposed based on the correlation of intra-and inter-descriptions.In the experiments,the proposed scheme achieves better performance compared with other tested multiple description coding(MDC)schemes in both an on-off MDC environment and lossy packet networks.