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On Achieving Short Channel Switching Delay and Playback Lag in IP-Based TV Systems

机译:基于IP的电视系统中实现短频道切换延迟和播放滞后的研究

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摘要

IP-based TV systems are widely used to stream video content on the Internet. Compared with the traditional broadcast TV systems, IP-based TV systems suffer from much longer channel switching delays. In this paper, we propose a new IP-based streaming framework, called fast IP-based TV (FIPTV), to achieve close-to-zero channel switching delay at the price of extra download bandwidth and increased playback lags. In FIPTV, other than the channel being watched, a client also downloads an extra combination virtual channel, called backing united stream (BUS), which consists of video segments sequentially sampled from a set of target channels that a client might switch to in the near future. Video segments downloaded from the combination channel will be cached in a local buffer. When the client issues a channel switch request to a target channel, the client will immediately playback the most recently downloaded video of the target channel, leading to close-to-zero channel switching time, but a positive playback lag. Through analysis and simulations , we show that short average playback lag can be achieved across all channels through carefully designed channel scheduling algorithms on the BUS channel by considering channel popularity. We implement the proposed streaming framework in real systems. Through experiments on the Internet, we show that the actual channel switching delay can be reduced to less than 0.25 seconds, which is much shorter than that of the popular Internet video streaming services.
机译:基于IP的电视系统被广泛用于在Internet上流传输视频内容。与传统的广播电视系统相比,基于IP的电视系统遭受更长的频道切换延迟。在本文中,我们提出了一种新的基于IP的流传输框架,称为快速基于IP的电视(FIPTV),以增加下载带宽和增加播放延迟为代价,实现了接近零的频道切换延迟。在FIPTV中,除了正在观看的频道外,客户端还下载一个额外的组合虚拟频道,称为后备联合流(BUS),该虚拟频道包含从一组目标频道中顺序采样的视频片段,客户端可能会在这些频道中切换到这些视频片段。未来。从组合频道下载的视频片段将被缓存在本地缓冲区中。当客户端向目标频道发出频道切换请求时,客户端将立即播放目标频道的最新下载视频,从而导致频道切换时间接近于零,但播放延迟较大。通过分析和仿真,我们表明,通过考虑通道的流行程度,通过在BUS通道上精心设计的通道调度算法,可以在所有通道上实现较短的平均回放延迟。我们在实际系统中实现了建议的流框架。通过Internet上的实验,我们表明实际的频道切换延迟可以减少到0.25秒以内,这比流行的Internet视频流服务要短得多。

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