GTube: geo-predictive video streaming over HTTP in mobile environments
GTube: geo-predictive video streaming over HTTP in mobile environments
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DOI：
10.1145/2557642.2557647
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发表时间：
2014-03
期刊：
影响因子：
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通讯作者：
Jia Hao;Roger Zimmermann;Haiyang Ma
中科院分区：
文献类型：
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作者：
Jia Hao;Roger Zimmermann;Haiyang Ma
移动视频流有时会遭受播放中断，这通常是由于用户沿路线旅行时可能遇到的相当大的网络带宽变化造成的。分段自适应 HTTP 流可以在以不同比特率编码的视频流（因此具有不同的质量级别）之间切换，可用于缓解可变带宽的问题。关于用户感知体验的一个重要问题是系统如何调度质量级别以匹配端到端网络带宽容量。如果应用程序能够提前估计未来的网络状况，从而明智地执行质量控制和缓冲区控制，这是非常有益的。这项工作描述了 GTube，一种用于移动环境中配备 GPS 定位传感器的接收器的视频流系统。每个位置的可用网络带宽由移动用户收集，然后该数据与测量的位置一起上传并记录在服务器中。流式传输视频的移动设备可以向服务器发送查询，以便更好地预测近期的带宽可用性并相应地规划质量调整。
Mobile video streaming sometimes suffers from playback interruptions which are typically due to considerable network bandwidth variations that a user may experience when s/he travels along a route. Segmented adaptive HTTP streaming that switches between video streams encoded at different bitrates -- and hence different quality levels -- can be used to alleviate the issues of variable bandwidth. An important issue with respect to users' perceived experience is how the system schedules the quality levels to match the end-to-end network bandwidth capacity. It is very beneficial if the application can estimate the future network conditions in advance, and therefore perform quality control and buffer control wisely. This work describes GTube, a video streaming system for receivers equipped with a GPS positioning sensor in mobile environments. The available network bandwidth for each location is collected by mobile users and then this data along with the measured locations are uploaded and recorded in a server. Mobile devices that stream video can send queries to the server in order to better predict the near-future bandwidth availability and plan quality adaptations accordingly.