A Rate-Distortion Optimized Error-Resilient Algorithm for Multi-view Video Coding

摘要

In this paper, a new rate-distortion (R-D) optimized error-resilient scheme is proposed to improve error resilience for multi-view video transmission over lossy networks. Based on the study on the characteristics of multi-view video coding and the propagating behavior of channel errors, a recursive model to estimate the end-to-end distortion is first developed, in which the channel-induced distortion takes into consideration both motion and disparity compensation prediction. Then, based on the estimated distortion and the derived total bit rate, R-D optimized motion and disparity estimation are employed to find the reliable motion vector and disparity vector to achieve the optimum trade-off between prediction efficiency and error robustness. Finally, R-D optimization is applied again to perform coding mode decision, which explicitly considers intra, inter and inter-view prediction modes. Extensive experimental results demonstrate significant performance gains can be achieved for multi-view video communications against transmission errors.