IEEE Trans Image Process. 2011 Jun;20(6):1768-73. doi: 10.1109/TIP.2010.2097271. Epub 2010 Dec 6.
In this paper, we are to solve the drift problem of multiple description video coding on packet loss channels by using state-of-the-art distributed techniques. We first present an asymptotically optimal code design of multiple descriptions in the Wyner-Ziv (MDWZ) setting. Then we propose a distributed multiple description video coding (DMDVC) scheme, which performs MDWZ coding on each nonintra coded frame. Instead of the prediction loops used in traditional multiple description video coding, Slepian-Wolf based coding is used to exploit interframe correlations. A bitplane extraction scheme is proposed to improve the balance between two descriptions, so that side informations can be interchanged between the side decoders of DMDVC with negligible quality degradation, which is crucial to robust transmission over packet loss channels. Experiment results demonstrate the robustness of our scheme, especially at high packet loss rates.
在本文中，我们将使用最先进的分布式技术解决多描述视频编码在丢包信道上的漂移问题。我们首先在 Wyner-Ziv (MDWZ) 环境中提出了一种渐近最优的多描述码设计。然后，我们提出了一种分布式多描述视频编码 (DMDVC) 方案，该方案对每个非帧内编码帧执行 MDWZ 编码。与传统的多描述视频编码中使用的预测环路不同，我们使用基于 Slepian-Wolf 的编码来利用帧间相关性。我们提出了一种位平面提取方案来改善两种描述之间的平衡，以便在 DMDVC 的侧解码器之间交换侧信息，而不会导致质量显著下降，这对于在丢包信道上进行稳健传输至关重要。实验结果表明了我们方案的鲁棒性，特别是在高丢包率下。
