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Hard-deadline-based frame filtering mechanism supporting the delivery of real-time video streams

机译:基于硬期限的帧过滤机制,支持实时视频流的传递

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This paper describes a cross-layer filtering mechanism which facilitates real-time video frames to meet their stringent decoding deadlines in the existence of network congestion. The basic idea is to remove the dysfunctional video frames, which have missed their decoding deadlines, from transmission as early as possible, since they no longer serve for the functioning of a real-time media streaming application. The filtering mechanism consists of a pair of components which operate at the encoder and the decoder, respectively. The decoder-side component identifies the dysfunctional frames and sends the notifications to the encoder. The encoder-side component removes the identified dysfunctional frames from transmission. By removing dysfunctional frames from transmission, the video frames that are behind the dysfunctional frames are eligible for transmission at an earlier time and are made likely to meet their decoding deadlines. Meanwhile, removing dysfunctional frames from transmission also serves to maintain a stable and low queueing delay. The filtering mechanism relies on a user-space transport stack which enables the application-controlled transmission of data segments. The effectiveness of the filtering mechanism has been demonstrated through experiments in emulated networks.
机译:本文介绍了一种跨层过滤机制,该机制有助于实时视频帧在存在网络拥塞的情况下满足其严格的解码期限。基本思想是尽早从传输中删除错过解码时限的功能异常的视频帧,因为它们不再用于实时媒体流应用程序的功能。过滤机制由一对分别在编码器和解码器上运行的组件组成。解码器端组件识别功能异常的帧,并将通知发送到编码器。编码器侧组件从传输中删除识别出的功能异常帧。通过从传输中删除功能失常的帧,位于功能失常的帧之后的视频帧可以在较早的时间进行传输,并有可能满足其解码期限。同时,从传输中删除功能异常的帧还有助于保持稳定且较低的排队延迟。过滤机制依赖于用户空间传输堆栈,该堆栈支持应用程序控制的数据段传输。通过仿真网络中的实验已经证明了过滤机制的有效性。

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