论文标题
通过低分辨率代理的每盘自适应Lagrangian乘数优化
Per-clip adaptive Lagrangian multiplier optimisation with low-resolution proxies
论文作者
论文摘要
这项工作着重于通过使用较低的分辨率剪辑作为代理来降低重复视频编码的计算成本。从低分辨率夹中提取的功能用于学习最佳的Lagrange乘数，以控制原始分辨率夹的速率。除了通过使用较低的分辨率剪辑来减少计算成本和编码时间外，我们还研究了较旧但更快的编解码器（例如H.264）创建代理的使用。这项工作表明，使用144p代理减少了计算负载22倍。我们的测试基于YouTube UGC数据集，因此我们的结果基于自适应比特率编码问题的实际实例。通过优化速率失真曲线所需的工作点的放置和稀疏性，可以进一步改进。
This work focuses on reducing the computational cost of repeated video encodes by using a lower resolution clip as a proxy. Features extracted from the low resolution clip are used to learn an optimal lagrange multiplier for rate control on the original resolution clip. In addition to reducing the computational cost and encode time by using lower resolution clips, we also investigate the use of older, but faster codecs such as H.264 to create proxies. This work shows that the computational load is reduced by 22 times using 144p proxies. Our tests are based on the YouTube UGC dataset, hence our results are based on a practical instance of the adaptive bitrate encoding problem. Further improvements are possible, by optimising the placement and sparsity of operating points required for the rate distortion curves.
