Adaptive rounding operator for efficient Wyner-Ziv video coding

Jeffrey J. Micallef, R. Farrugia, C. J. Debono
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Abstract

The Distributed Video Coding (DVC) paradigm can theoretically reach the same coding efficiencies of predictive block-based video coding schemes, like H.264/AVC. However, current DVC architectures are still far from this ideal performance. This is mainly attributed to inaccuracies in the Side Information (SI) predicted at the decoder. The work in this paper presents a coding scheme which tries to avoid mismatch in the SI predictions caused by small variations in light intensity. Using the appropriate rounding operator for every coefficient, the proposed method significantly reduces the correlation noise between the Wyner-Ziv (WZ) frame and the corresponding SI, achieving higher coding efficiencies. Experimental results demonstrate that the average Peak Signal-to-Noise Ratio (PSNR) is improved by up to 0.56dB relative to the DISCOVER codec.
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自适应四舍五入算子用于高效的Wyner-Ziv视频编码
分布式视频编码(DVC)范式理论上可以达到与基于预测块的视频编码方案(如H.264/AVC)相同的编码效率。然而,目前的DVC体系结构离这种理想的性能还很远。这主要是由于解码器预测的侧信息(SI)不准确。本文的工作提出了一种编码方案,该方案试图避免由光强的微小变化引起的SI预测中的不匹配。该方法对每个系数采用适当的舍入算子,显著降低了wner - ziv (WZ)帧与相应SI之间的相关噪声,实现了更高的编码效率。实验结果表明,与DISCOVER编解码器相比,平均峰值信噪比(PSNR)提高了0.56dB。
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