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REAL-TIME ADAPTIVE FORWARD ERROR CORRECTION FOR MPEG-2 VIDEO COMMUNICATIONS OVER RTF NETWORKS

机译:RTF网络中MPEG-2视频通信的实时自适应前向纠错

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We present an algorithm for real-time adaptive forward error correction (FEC) of MPEG-2 video stream, encapsulated using real-time transport protocol (RTF) and delivered over best-effort networks. Our algorithm provides an efficient method to determine the allocation of redundancy to the MPEG-2 video stream. The redundancy is allocated such that the resulting estimated degradation density function for video (DDF) is uniformly distributed. A weight, which indicates the relative importance of RTF packets, together with the communication channel characteristics and FEC scheme are used to model the density function of the video stream and allow us to determine the allocation of FEC packets. The weight is based on the content of RTF packets in the video stream. Parameters extracted from the RTF header are used to determine the weights, so that the proposed algorithm can be implemented in real-time. In our simulations, we have relied on motion compensation and group of picture (GOP) data to determine the relative weights. Simulation results provided establish the significant improvement in performance based on our proposed approach to adaptive FEC.
机译:我们提出了一种用于MPEG-2视频流的实时自适应前向纠错(FEC)的算法,使用实时传输协议(RTF)封装并传送了最佳网络。我们的算法提供了一种有效的方法来确定对MPEG-2视频流的冗余分配。分配冗余,使得用于视频(DDF)的产生的估计劣化密度函数均匀分布。一种权重,其表示RTF分组的相对重要性以及通信信道特性和FEC方案用于模拟视频流的密度函数并允许我们确定FEC分组的分配。权重基于视频流中的RTF分组的内容。从RTF报头提取的参数用于确定权重,从而可以实时实现所提出的算法。在我们的模拟中,我们依赖于运动补偿和一组图片(GOP)数据来确定相对权重。仿真结果提供了基于我们提出的自适应FEC的方法,建立了性能的显着改善。

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