论文标题
框架型敏感RDO控制用于内容自适应编码
Frame-type Sensitive RDO Control for Content-Adaptive-encoding
论文作者
论文摘要
视频转编码是流媒体媒体行业越来越重要的应用。仅仅是因为流行夹的播放数量大量，研究了单个剪辑的转码参数的优化已变得很重要。在本文中，我们探讨了使用罐头优化器来估计特定剪辑可实现的最佳RD权衡。我们表明，仅在关键帧上调整RD优化的Lagrange乘数，我们就可以实现超过10美元以上的$ \ times $，即以前的BD速率增益可能，而不会影响任何操作点的质量。
Video transcoding is an increasingly important application in the streaming media industry. It has become important to investigate the optimisation of transcoder parameters for a single clip simply because of the immense number of playbacks for popular clips. In this paper, we explore the use of a canned optimiser to estimate the optimal RD tradeoff achievable for a particular clip. We show that by adjusting the Lagrange multiplier in RD optimisation on keyframes alone we can achieve more than 10$\times$ the previous BD-Rate gains possible without affecting quality for any operating point.
