通用视频编码标准中率失真复杂度优化方法

A. Rezaeieh, Hoda Roodaki
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引用次数: 0

摘要

最新的视频编码标准,称为多功能视频编码(VVC),使用一些新的编码工具,大大提高了压缩率,相比其前身,高效视频编码(HEVC)。虽然这些新选项提供了可观的编码增益,但其计算复杂度相对较高,因为这些编码工具的性能需要通过率失真优化(RDO)过程对每个编码树单元(CTU)进行评估。为了解决这个问题,本文首先研究了编码工具在帧的各个部分,如边界和中心CTU的有效性。本研究结果表明,其中一些编码工具由于其特定的特性,对边界ctu的编码效率要高得多。因此,这些编码工具仅被认为能够在率失真过程中降低边缘cpu的计算复杂度,而不会显著影响编码增益。仿真结果表明,采用该方法压缩效率平均仅降低0.64%,但计算复杂度平均降低28.31%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method for Rate-Distortion-Complexity Optimization in Versatile Video Coding Standard
The most recent video coding standard, named Versatile Video Coding (VVC), greatly improved the compression rate compared to its predecessor, High Efficiency Video Coding (HEVC) using some new coding tools. Though these new option provide appreciable coding gain, its computational complexity is relatively high since the performance of these coding tools need to be evaluated for each Coding Tree Units (CTU) through the Rate-Distortion Optimization (RDO) process. To address this issue, in this paper, first, the effectiveness of the coding tools in various parts of the frame, such as the borderline and central CTU, is investigated. The results of this study show that the coding efficiency of some of these coding tools is much higher for the borderline CTUs due to their specific features. Hence, these coding tools would be only considered enable for the borderline CTUs in rate-distortion process to decrease the computational complexity, without affecting the coding gain considerably. Simulation results show that using this method, the compression efficiency decreased only by 0.64% in average, but the computational complexity is reduced considerably, by 28.31%, in average.
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