Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming

Te-Yuan Huang, Ramesh Johari, N. McKeown
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引用次数: 123

Abstract

Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.
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没有打嗝的唐顿庄园:HTTP视频流的基于缓冲的速率适应
最近的研究表明,选择一个视频流传输速率是多么困难。视频服务提供商使用启发式方法来估计导致不必要的再缓冲事件和次优视频质量的网络容量。本文认为我们不应该估计网络容量,而应该直接观察和控制回放缓冲区。我们提出了一类速率选择算法,使我们能够优化交付的视频质量,同时证明不会不必要地重新缓冲。我们的算法适用于离散视频速率、视频分块以及CBR和VBR视频编解码器。
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Session details: 2nd keynote address Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming Session details: Future human-centric multimedia networking I Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking Session details: 1st keynote address
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