使用低复杂度XPSNR模型可视化优化视频编码的双通率控制

Christian R. Helmrich, Ivan Zupancic, J. Brandenburg, Valeri George, A. Wieckowski, B. Bross
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引用次数: 7

摘要

双通率控制(RC)方案已被证明对生成低比特率视频点播或流媒体目录很有用。然而,视觉优化编码,特别是使用最新一代编码标准,如通用视频编码(VVC),仍然是一个深入研究的主题。本文介绍了在VVC开放编码软件VVenC版本1中集成的两路RC方法。RC设计基于一种新颖的两步率量化参数(R-QP)模型来推导第二步编码参数,并使用低复杂度的XPSNR视觉失真测量来提供数字上和视觉上稳定的、感知上R-D优化的编码结果。随机访问评估实验证实了改进的RC解决方案的客观和主观性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visually Optimized Two-Pass Rate Control for Video Coding Using the Low-Complexity XPSNR Model
Two-pass rate control (RC) schemes have proven useful for generating low-bitrate video-on-demand or streaming catalogs. Visually optimized encoding particularly using latest-generation coding standards like Versatile Video Coding (VVC), however, is still a subject of intensive study. This paper describes the two-pass RC method integrated into version 1 of VVenC, an open VVC encoding software. The RC design is based on a novel two-step rate-quantization parameter (R-QP) model to derive the second-pass coding parameters, and it uses the low-complexity XPSNR visual distortion measure to provide numerically as well as visually stable, perceptually R-D optimized encoding results. Random-access evaluation experiments confirm the improved objective as well as subjective performance of our RC solution.
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