Gradient degradation-aware rate control for VVC using Nash equilibrium

IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Chenpeng Lu , Huanqiang Zeng , Chao Jiao , Jing Chen , Qi Lin , Huijie Zheng
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引用次数: 0

Abstract

The λ-domain rate control in Versatile Video Coding (VVC) achieves remarkable performance, enabling higher visual quality under stringent bit constraints. However, for high-resolution video, a significant portion of Coding Tree Units (CTUs) are the skipped block, and using the updated parameters from skip CTUs may lead to unreasonable bit allocation. This paper presents a novel rate control method for VVC that separately allocates bits to skip and non-skip CTUs. Skip CTUs’ bits can be calculated at once based on the frame’s target bits per pixel (bpp) without separate calculations. For non-skip CTUs, we first formulate the bit allocation problem as a Nash equilibrium problem inspired by the definition of the game theory. Subsequently, we design a utility function based on Gradient Magnitude Similarity Deviation (GMSD) to quantify the degradation in gradient information caused by encoding. The λ parameter for bit allocation of non-skip CTUs is calculated accordingly. The proposed method is implemented in VTM 13.0, and experimental results confirm its effectiveness in enhancing visual quality and achieving significant reductions in bit rates.
基于纳什均衡的梯度退化感知VVC速率控制
通用视频编码(VVC)中的λ域速率控制可以在严格的比特约束下实现更高的视觉质量。然而,对于高分辨率视频,很大一部分编码树单元(Coding Tree Units, ctu)是跳过的块,使用跳过的ctu更新的参数可能会导致比特分配不合理。提出了一种新的VVC速率控制方法,将比特分别分配给跳跃式和非跳跃式ctu。跳过ctu的比特可以根据帧的目标比特每像素(bpp)立即计算,而无需单独计算。对于非跳过的ctu,我们首先根据博弈论的定义将比特分配问题表述为纳什均衡问题。随后,我们设计了一个基于梯度量级相似偏差(GMSD)的效用函数来量化编码导致的梯度信息退化。据此计算了用于非跳变cpu位分配的λ参数。在VTM 13.0中实现了该方法,实验结果证实了该方法在提高视觉质量和显著降低比特率方面的有效性。
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来源期刊
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation 工程技术-计算机:软件工程
CiteScore
5.40
自引率
11.50%
发文量
188
审稿时长
9.9 months
期刊介绍: The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.
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