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Symbol positions-based Slepian–Wolf coding with application to distributed video coding

机译:基于符号位置的绞睡 - 狼编码,应用于分布式视频编码

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摘要

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.
机译:在这项研究中,作者将表明编码符号的位置,而不是它们的值,可以是实现有效的斜坡(SW)编码的好方法,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这个想法的实用分布式视频编码(DVC)系统。该系统将使用二进制映射来指示最可能符号的位置,而不是将它们分成位平面。模拟表明,与使用相同的侧面信息的位平面的DVC系统相比,这种基于位置的SW编码允许简单且更高效的DVC系统具有改善的速率失真性能。编码器处的存储器要求减少了大约50%,并且还减少了通道编码操作的数量。该DVC系统还允许使用简单的方法来控制量化,从而降低解码延迟,并允许快速并行解码。

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