在分布式视频编码(DVC)中，由于解码端不能获取当前编码帧的信息，精确地对时域相关噪声进行建模变得更为困难。
In distributed video coding (DVC) because the decoder cannot have access to the current frame, modeling the temporal correlation noise becomes a difficult task.
为了解决多描述视频编码器在丢包信道下的漂移问题，本文提出了一种新的基于分布式视频算法的多描述视频编码方案。
A new multi-description video coding scheme based on distributed source coding is proposed to solve the drift problem of the multi-description video codec under packet loss channels.
介绍了分布式视频编码技术在视频压缩及容错视频传输中的应用，并对其中关键技术的最新研究进展进行了综述。
The applications of DVC in video compression and error-resilient video transmission are introduced and the advances in key techniques are reviewed.
本文在介绍分布式编码基本原理的基础上，着重介绍了分布式视频编码技术各个环节的最新研究进展，并对发展趋势进行了展望。
Based on the introduction of distributed coding principles, this paper reviews the advances of fundamental building blocks of distributed video coding, and the future development is pointed out.
本文在研究分布式视频编码的基础上，研究并改进了其解码端边信息的生成算法以改善边信息的重构质量，从而提高解码图像的PSNR值。
On the basis of studying DVC theory, an improved algorithm is proposed for the side information generating process so as to increase the PSNR at the decoder.
本文在研究分布式视频编码的基础上，研究并改进了其解码端边信息的生成算法以改善边信息的重构质量，从而提高解码图像的PSNR值。
On the basis of studying DVC theory, an improved algorithm is proposed for the side information generating process so as to increase the PSNR at the decoder.
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