SUR驱动的视频编码速率控制,以共同优化感知质量和缓冲控制
概括
这项研究引入了一种用于视频编码的新速率控制方法,可以提高人类视觉质量和缓冲区稳定性. 该方法使用满意用户比率 (SUR) 建模和感知缓冲速率控制 (PBRC) 来改善视频体验.
科学领域:
- 视频编码 视频编码
- 图像和视频处理 图像和视频处理
- 计算机视觉 计算机视觉
背景情况:
- 速率控制在视频编码中至关重要,但在优化人类视觉体验和缓冲区稳定性方面仍然存在挑战.
- 视频中的剧烈运动可以掩盖由于人类视觉系统 (HVS) 限制的扭曲,而波动的比特率会导致缓冲器不稳定.
- 现有的方法难以平衡感知质量与缓冲管理,特别是在高动作场景中.
研究的目的:
- 为HEVC (高效视频编码) 提出一个新的联合费率控制方案.
- 为了最大限度地提高人类视觉感知质量,同时防止缓冲器下流和溢出.
- 通过减少跳转来提高整体重建的视频质量.
主要方法:
- 引入了满意用户比率 (SUR) 度量,用于在速率控制范围内建模人类视觉质量.
- 开发了快速视觉多方法评估融合 (VMAF) 质量预测 (FVQP) 以有效地生成SUR曲线.
- 建立了一个双重目标优化框架,集成感知建模和感知缓冲器速率控制 (PBRC).
主要成果:
- 拟议的联合速率控制计划有效地利用SUR.使用人类视觉质量的模型.
- FVQP实现了具有负担得起的计算复杂性的SUR曲线生成.
- 双重目标优化框架允许在视觉质量和缓冲区稳定性之间灵活调整优先级.
- 实验结果显示,与现有方法相比,改善了人类视觉体验和增强了缓冲器稳定性,减少了跳过.
结论:
- 新的联合速率控制方案成功地解决了人类视觉体验的局限性和视频编码中的缓冲区稳定性.
- 集成基于SUR的感知建模和PBRC提供了一种灵活有效的方法来优化视频质量.
- 拟议的方法在增强视觉感知和稳定缓冲器方面表现出卓越的性能,从而导致更好的重建视频质量.
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