可分级视频编码结构优化的差错恢复编码方法

Error Resilient Video Coding Based on Scalable Video Coding Structure

提出了一种在丢包环境下的基于H.264的可伸缩视频编码(SVC)扩展的率失真(RD)优化宏块模式判决模型.在RD模型中加入时间级的优化参数.编码器每编码完一帧图像后,都以编码块为单位计算信源编码失真和误差扩散失真,并将计算结果存储在失真映射表中用于计算下一个编码图像的端到端失真.实验结果表明,在丢包环境下,优化后的率失真模型的差错恢复性能比优化前有明显提高.

An efficient decision algorithm of the rate-distortion （RD） optimized macroblock mode for scalable video coding （SVC） extension based on H. 264 in packet loss environment is presented. A parameter used for temporal level optimization is added into the RD model. Source-coding distortion and error-propagated distortion of each frame are calculated on a encoding block basis after the frame is encoded, which will be stored in a distortion mapping table to calculate the end-to-end distortion of the next frame. The simulation results show that the proposed algorithm has better performance than the original method in terms of error resilience.