In this study, the authors will show that coding the positions of the symbols, instead of their values, can be a good way to implement efficient Slepian–Wolf (SW) coding and can reduce the complexity of both the encoder and the decoder. The authors will also propose a practical distributed video coding (DVC) system that exploits this idea. This system will use binary maps to indicate the positions of the most probable symbols, instead of separating them into bitplanes. Simulations show that this position-based SW coding allows a simple and more efficient DVC system with improved rate-distortion performance, compared to the bitplane-based DVC system that uses the same side information. The memory requirements at the encoder are reduced by about 50% and the number of channel coding operations is also reduced. This DVC system also allows to use an easy way to control quantisation, reduces the decoding latency, and allows fast parallel decoding.

中文翻译：

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基于符号位置的Slepian-Wolf编码及其在分布式视频编码中的应用

在这项研究中，作者将表明，对符号的位置进行编码，而不是对其值进行编码，是实现有效的Slepian-Wolf（SW）编码的一种好方法，并且可以降低编码器和解码器的复杂性。作者还将提出一种利用此思想的实用的分布式视频编码（DVC）系统。该系统将使用二进制映射表来指示最可能的符号的位置，而不是将它们分成位平面。仿真表明，与使用相同辅助信息的基于位平面的DVC系统相比，这种基于位置的SW编码可提供一种简单且更有效的DVC系统，并具有改进的速率失真性能。编码器的内存需求减少了约50％，并且通道编码操作的数量也减少了。