Optimized video streaming for networks with varying delay

S. Wee, Wai-tian Tan, J. Apostolopoulos, M. Etoh
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引用次数: 37

Abstract

This paper presents a method for distortion-optimized streaming of predictively coded video over packet networks with varying delay. In networks with significant delay variations, coded video frames can arrive late at the decoder and miss their respective display deadlines. Furthermore, due to predictive coding, a late frame can also prevent a number of subsequent frames from being displayed properly, where the number of affected frames or degree of distortion depends on the particular coding dependencies of the late frame. In this paper, we present an optimized video streaming strategy based on frame reordering for networks with significant delay variations. This streaming strategy minimizes distortion by exploiting the fact that different late frames result in different degrees of distortion. We model the router-induced delay in a wired network with an analytical PDF and we model the link-layer retransmission delay of a wireless network with the 3GPP specification for W-CDMA radio link control. We compute the distortion for different frame reorderings using the network delay models and a source model that accounts for the prediction dependencies of predictively coded video. Our optimized streaming strategies are shown to reduce the number of late frames by 14 to 23% for the situations examined.
针对不同延迟的网络优化了视频流
本文提出了一种在可变延迟分组网络上对预测编码视频进行失真优化的方法。在具有显著延迟变化的网络中,编码视频帧可能会延迟到达解码器并错过各自的显示截止日期。此外,由于预测性编码,延迟帧还可以阻止许多后续帧被正确显示,其中受影响帧的数量或失真程度取决于延迟帧的特定编码依赖。本文针对时延变化较大的网络,提出了一种基于帧重排序的优化视频流策略。这种流策略通过利用不同的延迟帧导致不同程度的失真的事实来最大限度地减少失真。我们用分析PDF模型模拟了有线网络中路由器引起的延迟,并用3GPP规范的W-CDMA无线链路控制模型模拟了无线网络的链路层重传延迟。我们使用网络延迟模型和考虑预测编码视频的预测依赖关系的源模型计算不同帧重排序的失真。我们优化的流媒体策略显示,在检查的情况下,延迟帧的数量减少了14%到23%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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