Rate Control Based on Zero-Residue Pre-Selection for Video Transcoding

C. Ho, O. Au, S. Chan, H. Wong, S. Yip
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Abstract

A common issue in video transcoding for heterogeneous network environment is to efficiently and accurately reduce the bit-rate such that the distortion is minimized under a given rate constraint. To convert the bit-rate of an encoded video to match the channel capacity, in general, re-quantization is done on the DCT coefficients with larger quantization step size. Most existing rate control algorithms for video transcoding in the literature calculate quantization parameters (QPs) of macroblocks (MBs) based on a relationship between certain properties of coded video and bit-rate. They reduce the computational complexity by simplifying the R-D model and reusing the statistics information of input video. In this paper, we propose a zero-residue pre-selection (ZRPS) mechanism to select only a portion of MBs to apply the rate control in video transcoding. TMN-8 is used to evaluate the impact of ZRPS. Experimental results show that, as compared to the original TMN-8 rate control scheme, TMN-8 with ZRPS achieves up to 1.60 dB gain, in term of PSNR, and requires less than 50% of the computational complexity compared to TMN-8, depending on the characteristics of the video content
基于零残差预选的视频转码速率控制
异构网络环境下视频转码的一个常见问题是在给定的码率约束下,如何有效、准确地降低码率,使码率失真最小化。为了使编码视频的比特率与信道容量相匹配,通常采用较大的量化步长对DCT系数进行再量化。文献中现有的视频转码速率控制算法大多基于编码视频的某些属性与比特率之间的关系来计算宏块(macroblock, mb)的量化参数(QPs)。他们通过简化R-D模型和重用输入视频的统计信息来降低计算复杂度。在本文中,我们提出了一种零残差预选(zero- residual preselection, ZRPS)机制来选择一部分mb用于视频转码的速率控制。TMN-8用于评估ZRPS的影响。实验结果表明,与原始的TMN-8速率控制方案相比,采用ZRPS的TMN-8在PSNR方面获得了高达1.60 dB的增益,并且根据视频内容的特点,所需的计算复杂度低于TMN-8的50%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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