分布式压缩视频编码的帧分类重构方法研究

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。 

The Reconstruction Method of frames classification of distributed video compression coding

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 compression 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 decode 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 .