在综合考虑差错扩散、差错掩盖策略及信道误码率的基础上,从像素级对端到端的视频传输差错扩散失真情况进行了分析,根据帧间相关系数和掩盖比率,提出了一种适用于各种时域差错掩盖方法的通用传输失真度估算模型.基于包丢失的仿真实验表明,该模型能够较好地近似估计出差错扩散失真情况,可以适应于各种不同的时域掩盖方法.实验还显示,基于该模型的宏块编码模式的帧内更新选择,与传统的R-D模式帧内更新算法相比,达到了较好地抑制差错扩散的效果,可适用于多种时域掩盖方法.

The end-to-end error propagation distortion on pixel level precision is analyzed based on temporal concealment strategies in decoder and channel error rate. By using frame correlative coefficient and concealment ratio of TR and MCR, a new general transmission distortion estimation model for various temporal concealments is proposed. The estimation accuracy is demonstrated via simulation results for video transmission over packet loss channel, which illustrates that actual distortion can be estimated by proposed expectation model approximately. The proposed model provides an efficient method for MB coding parameters optimal selection over error prone environment. The simulation results also show that the MB mode INTRA-update algorithm based on proposed model has better substantial and consistent gains than traditional R-D optimal INTRA-update algorithm.