Background Error Propagation Model Based RDO in HEVC for Surveillance and Conference Video Coding

The emerging high efficiency video coding (HEVC) Standard has significantly improved the compression performance in comparison with its predecessor H.264/AVC. However, it was originally designed for generic video contents. The backgrounds are generally static in the surveillance and conference videos. The background coding errors will propagate to the subsequent frames in coding the videos. In this paper, a background error propagation (BEP) model-based rate distortion optimization (RDO) scheme in HEVC is proposed for the surveillance and conference videos. First, the R-D performance of the long-term frames is optimized globally. The global RDO scheme can efficiently exploit the background error propagation. Second, a BEP model is studied to express the linear relationship between the distortion of the first frame and that of its subsequent frames. Based on the BEP model, enhanced frames are proposed to be coded with a small quantization parameter so as to improve the global performance. Third, a decay model is proposed to investigate the variation of the error propagation ratio as the frame order increased. Based on the decay model, a periodical optimization scheme is presented by deploying the enhanced frames periodically. Experiments are tested on the surveillance and conference videos. The results show that the proposed algorithm achieves significant performance improvement.