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Rate-distortion optimised quantisation for direct current coefficients of Wyner??Ziv frame in unidirectional distributed video coding

机译:单向分布式视频编码中Wyner ?? Ziv帧的直流系数的率失真优化量化

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This study presents a rate-distortion (RD) optimised quantisation algorithm for direct current (DC) coefficients of the Wyner??Ziv (WZ) frames in unidirectional distributed video coding. As the side information (SI) could be viewed as a `corrupted?? version of the original WZ frame, the correlation noise (WZ-SI) can be interpreted as a virtual channel with an error pattern. In this study, the distortion caused by virtual channel errors, besides quantisation errors, is analysed emphatically for unidirectional WZ video coding. In their presented quantisation algorithm, a novel RD model is developed to find out the optimal quantisation step size, in which the quantisation distortion and virtual channel error distortion together with the encoding rate are formulated using the quantisation step size without feedback channels. Then the RD optimal step size for DC coefficients can be solved through minimising the RD cost. In simulations, the comparison of RD performance between their proposed algorithm and the quantisation method used in distributed coding for video services (DISCOVER) is presented. Experimental results show that the proposed RD optimised quantisation for DC coefficients can improve the average peak signal-to-noise ratio of WZ frames by 0.4??1.2 dB for quarter common intermediate format (QCIF) sequences and 0.2??0.4 dB for common intermediate format (CIF), at the expense of increasing the encoding complexity slightly.
机译:这项研究针对单向分布式视频编码中的Wyner ?? Ziv(WZ)帧的直流(DC)系数提出了一种速率失真(RD)优化的量化算法。由于辅助信息(SI)可能被视为“已损坏”?在原始WZ帧的版本中,相关噪声(WZ-SI)可以解释为带有错误码型的虚拟通道。在这项研究中,着重分析了单声道WZ视频编码中除量化误差外,虚拟信道误差引起的失真。在他们提出的量化算法中,开发了一种新颖的RD模型以找出最佳的量化步长,其中使用没有反馈通道的量化步长来制定量化失真和虚拟通道误差失真以及编码率。然后可以通过最小化RD成本来解决DC系数的RD最佳步长。在仿真中,提出了他们提出的算法与视频服务分布式编码(DISCOVER)中使用的量化方法之间RD性能的比较。实验结果表明,所提出的针对直流系数的RD优化量化可以将WZ帧的平均峰值信噪比提高为四分之一公共中间格式(QCIF)序列的0.4≤1.2dB,而对于公共中间格式为0.2≤0.4dB格式(CIF),以稍微增加编码复杂度为代价。

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