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Perceptual-based distributed video coding

机译：基于感知的分布式视频编码

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摘要

In this paper, we propose a perceptual-based distributed video coding (DVC) technique. Unlike traditional video codecs, DVC applies video prediction process at the decoder side using previously received frames. The predicted video frames (i.e., side information) contain prediction errors. The encoder then transmits error-correcting parity bits to the decoder to reconstruct the video frames from side information. However, channel codes based on i.i.d. noise models are not always efficient in correcting video prediction errors. In addition, some of the prediction errors do not cause perceptible visual distortions. From perceptual coding point of view, there is no need to correct such errors. This paper proposes a scheme for the decoder to perform perceptual quality analysis on the predicted side information. The decoder only requests parity bits to correct visually sensitive errors. More importantly, with the proposed technique, key frames can be encoded at higher rates while still maintaining consistent visual quality across the video sequence. As a result, even the objective PSNR measure of the decoded video sequence will increase too. Experimental results show that the proposed technique improves the R-D performance of a transform domain DVC codec both subjectively and objectively. Comparisons with a well-known DVC codec show that the proposed perceptual-based DVC coding scheme is very promising for distributed video coding framework.
机译：在本文中，我们提出了一种基于感知的分布式视频编码（DVC）技术。与传统的视频编解码器不同，DVC使用先前接收的帧在解码器端应用视频预测过程。预测的视频帧（即，辅助信息）包含预测误差。然后，编码器将纠错奇偶校验位发送到解码器，以根据辅助信息重建视频帧。但是，基于i.d.噪声模型在校正视频预测错误方面并不总是有效的。另外，某些预测误差不会导致可察觉的视觉失真。从感知编码的角度来看，不需要纠正这种错误。本文提出了一种用于解码器对预测的辅助信息进行感知质量分析的方案。解码器仅请求奇偶校验位来纠正视觉敏感错误。更重要的是，利用提出的技术，可以以更高的速率对关键帧进行编码，同时仍然在整个视频序列中保持一致的视觉质量。结果，即使是解码视频序列的客观PSNR测量也将增加。实验结果表明，该技术在主观和客观上都提高了变换域DVC编解码器的R-D性能。与著名的DVC编解码器的比较表明，所提出的基于感知的DVC编码方案对于分布式视频编码框架非常有希望。

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