视频编码中的信息流

Jia Wang, Xiaolin Wu
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引用次数: 5

摘要

我们在帧级研究了常用视频编码方法的信息理论性能。通过将连续视频帧抽象为相关随机变量,现有的许多视频编码技术,包括MPEG-x和H.26x的基线,可扩展编码和分布式视频编码,都可以有相应的信息理论模型。一些系统的理论可实现率失真区域已经完全解决,而另一些系统仍然是开放的。我们证明了序列编码的可达率区域等于马尔可夫源的预测编码的可达率区域。对目前流行的混合视频编码架构中B帧的编码效率进行了理论分析,对当前的实践有了新的认识。我们还发现,如果源不是马尔可夫的,分布式顺序视频编码通常会导致性能损失。
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Information Flows in Video Coding
We study information theoretical performance of common video coding methodologies at the frame level. Via an abstraction of consecutive video frames as correlated random variables, many existing video coding techniques, including the baseline of MPEG-x and H.26x, the scalable coding and the distributed video coding, can have corresponding information theoretical models. The theoretical achievable rate distortion regions have been completely solved for some systems while for others remain open. We show that the achievable rate region of sequential coding equals to that of predictive coding for Markov sources. We give a theoretical analysis of the coding efficiency of B frames in the popular hybrid video coding architecture, bringing new understanding of the current practice. We also find that distributed sequential video coding generally incurs a performance loss if the source is not Markov.
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