中文摘要：

在很多的应用场景中需要具有低复杂度的视频编码器，新兴的分布式视频编码和压缩感知技术正好适用于这些场景中，因而出现了一种新的视频编码方案———分布式压缩视频编码。在现有的一些分布式压缩视频编码方案中，视频帧在编码端是独立编码，在解码端进行联合解码，具体来说就是关键帧独立解码，非关键帧在由关键帧生成的边信息的帮助下进行解码，这就忽略了非关键帧之间的相关性。本文提出一个新的分布式视频编码方案，将非关键帧分为主非关键帧和次非关键帧，主非关键帧利用关键帧生成地边信息进行解码，而次非关键帧先利用相邻的主非关键帧进行观测值预测，然后再利用关键帧生成的边信息进行解码。实验结果表明，在本文提出的框架下，非关键帧的重构质量提高了有2dB～4dB。

英文摘要：

In many application scenarios,a low complexity video encoder is needed.the combine of distributed video coding and compressive sensing technique is fit for these scenes.So a new video coding scheme,distributed video compres-sion coding,appears.In some distributed video compression coding schemes,the video frames are encoding independently at the coder and decoding jointly at the decoder.Specifically,the key frames decode independently and non-key frames de-code with the help of the side information which is generated by key frames.This ignores the correlations between non-key frames.This paper proposes a new distributed video coding scheme,dividing the non-key frames into the main non-key frames and sub-non-key frames.The main non-key frames decode with the help of the side information which is generated by key frames.The sub-non-key frames make use of the adjacent main non-key frames to predict the measurement firstly. Then the sub-non-key frames decode with the side information which is generated by key frames.The experimental results show that the proposed scheme improves the PSNR of non-key frames there 2dB~4dB.