In particular, the end-to-end error propagation distortion on pixel level precision is analyzed based on temporal concealment and channel error rate. Subsequently, a new general transmission distortion estimation model for various temporal concealments is proposed.
首先介绍了视频编码中率失真(Rate-Distortion，R-D)优化的基本思想，讨论了宏块(Microblack，MB)编码模式选择所涉及的R-D优化问题；在综合考虑差错扩散、时域掩盖以及信道误码等基础上，从像素级对端到端的视频传输差错扩散失真情况进行了详细分析，提出了一种新的涵盖各种时域差错掩盖方法的通用传输失真度估算模型。
参考来源 - 低码率视频差错恢复技术若干问题研究·2,447,543篇论文数据，部分数据来源于NoteExpress
提出了一种新的时域误码掩盖算法，能更准确地恢复误码块丢失的运动矢量。
A new error temporal concealment algorithm for recovering the loss or erroneously received motion vectors is presented.
然后根据准确性，通过隐藏运动模型充分利用丢失块的空域和时域相关性进行差错块的掩盖。
Then we restore the missing pixels with implicit motion model making full use of the relevance of temporal and spatial domain according to the accuracy.
仿真结果表明，该算法在各种宏块丢失率下均优于传统的时域误码掩盖算法，具有很强的鲁棒性。
Simulation shows that the proposed technique is superior to conventional temporal concealment techniques and demonstrates fairly good robustness in various lost rates of inter-coded macroblocks.
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