论文标题
RGB的感知视频编码4：4数据的时空自适应量化
Spatiotemporal Adaptive Quantization for the Perceptual Video Coding of RGB 4:4:4 Data
论文作者
论文摘要
由于人类视觉系统（HVS）的光谱灵敏度现象，RAW RGB 4：4：4序列的颜色通道包含重要的心理冗余；这些冗余可以在感知上进行量化。 HEVC标准中的默认量化系统被称为统一重建量化（URQ）和速率失真优化量化（RDOQ）；对于RGB 4：4：4视频数据的编码，URQ和RDOQ不会在感知上优化。在本文中，我们提出了一种名为SPAQ的新型时空感知量化技术。随着RGB 4：4：4视频数据的应用，SPAQ利用HVS光谱敏感性相关的颜色掩蔽除了空间掩盖和时间掩模外； SPAQ在编码块（CB）级别和预测单元（PU）级别上运行。如果检测到G，B和R CBS中的高方差空间数据，并且如果检测到PUS中的高运动矢量幅度，则该技术在CB级别上可感知地调整了CB水平的量化步长（QSTEP）。与Anchor 1（HEVC HM 16.17 REXT）相比，SPAQ大大降低了比特率，最大降低约为80％。除了SSIM分数外，主观评估中的平均意见评分（MOS）表明，与锚相比，SPAQ成功地实现了无损的压缩。
Due to the spectral sensitivity phenomenon of the Human Visual System (HVS), the color channels of raw RGB 4:4:4 sequences contain significant psychovisual redundancies; these redundancies can be perceptually quantized. The default quantization systems in the HEVC standard are known as Uniform Reconstruction Quantization (URQ) and Rate Distortion Optimized Quantization (RDOQ); URQ and RDOQ are not perceptually optimized for the coding of RGB 4:4:4 video data. In this paper, we propose a novel spatiotemporal perceptual quantization technique named SPAQ. With application for RGB 4:4:4 video data, SPAQ exploits HVS spectral sensitivity-related color masking in addition to spatial masking and temporal masking; SPAQ operates at the Coding Block (CB) level and the Prediction Unit (PU) level. The proposed technique perceptually adjusts the Quantization Step Size (QStep) at the CB level if high variance spatial data in G, B and R CBs is detected and also if high motion vector magnitudes in PUs are detected. Compared with anchor 1 (HEVC HM 16.17 RExt), SPAQ considerably reduces bitrates with a maximum reduction of approximately 80%. The Mean Opinion Score (MOS) in the subjective evaluations, in addition to the SSIM scores, show that SPAQ successfully achieves perceptually lossless compression compared with anchors.
