The quality of side information has an important impact on the performance of a distributed video coding system. At present, the generation of side information is mainly based on the translational motion model using the inter-frame correlation for motion estimation. Considering that the generated side information is prone to block effect and ghosting, as well as the situation that the nonlinear motion is not fully considered and the intra-frame correlation is not fully utilized, a side information hybrid generation algorithm based on an improvement model for the motion vector field is proposed. The side information frame to be generated for the current Wyner-Ziv frame is divided into easy-to-estimate and difficult-to-estimate macroblocks. For difficult-to-estimate macroblocks, the Horn and Schunck dense optical flow method is used to generate reliable motion vectors, for easy-to-estimate macroblocks, the block matching method is used to generate unreliable motion vectors which are modified by the proposed scheme, and then, the improved motion vectors are used for motion compensation to produce the final side information frame. Experiment results show that the quality of side information obtained by using the improved motion vector field for motion compensation has been significantly improved, thus the overall performance of the distributed video coding system has been effectively improved.

辅助信息的质量对分布式视频编码系统的性能具有重要影响。当前，辅助信息的生成主要基于使用帧间相关性进行运动估计的平移运动模型。考虑到生成的辅助信息容易产生块效应和重影，以及未充分考虑非线性运动和未充分利用帧内相关的情况，基于改进模型的辅助信息混合生成算法用于提出了运动矢量场。为当前的Wyner-Ziv帧生成的辅助信息帧被分为易于估计和难以估计的宏块。对于难以估计的宏块，用Horn and Schunck密集光流方法生成可靠的运动矢量，对于易于估计的宏块，使用块匹配方法生成不可靠的运动矢量，该运动矢量经过所提出的方案进行了修改，然后改进后的运动矢量用于运动补偿以产生最终的辅助信息帧。实验结果表明，通过改进的运动矢量场进行运动补偿得到的边信息的质量得到了明显提高，从而有效地提高了分布式视频编码系统的整体性能。改进的运动矢量用于运动补偿以产生最终的辅助信息帧。实验结果表明，通过改进的运动矢量场进行运动补偿得到的边信息的质量得到了明显提高，从而有效地提高了分布式视频编码系统的整体性能。改进的运动矢量用于运动补偿以产生最终的辅助信息帧。实验结果表明，通过改进的运动矢量场进行运动补偿得到的边信息的质量得到了明显提高，从而有效地提高了分布式视频编码系统的整体性能。