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Real-time low-complexity adaptive approach for enhanced QoS and error resilience in MPEG-2 video transport over RTP networks

机译:实时低复杂度自适应方法,可增强RTP网络上MPEG-2视频传输中的QoS和错误恢复能力

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摘要

In this paper, the problems of redundancy allocation for providing effective error-resilience and service class distribution for enhanced quality of service (QoS) in real-time MPEG-2 video transport are addressed. A real-time low-complexity content-based adaptive error-resilient approach is proposed for the transport of MPEG-2 video streams, encapsulated using real-time transport protocol (RTP) and delivered over heterogeneous networks. An algorithm is derived using spatial and temporal properties of MPEG-2 video for assigning weights to each packet based on the estimated perceptual error. These weights, which indicate the relative importance of RTP packets, together with the communication channel characteristics are used to determine the allocation of resources for providing improved error-resilience and for assigning data packets to various classes of service in order to enhance the quality of transmission. Parameters extracted from the RTP header are used to determine the weights, so that the proposed algorithm can be implemented in real-time. This algorithm is used for adaptively allocating redundant forward error correction packets as well as for marking and forwarding of RTP packets in differentiated services (DiffServ). Simulation results are presented to show the significant improvement in performance based on our proposed approach to video transport.
机译:在本文中,解决了用于在实时MPEG-2视频传输中提供有效的容错能力和服务等级分配以提高服务质量(QoS)的冗余分配问题。提出了一种基于实时低复杂度的基于内容的自适应错误恢复方法,用于传输MPEG-2视频流,该视频流使用实时传输协议(RTP)封装并通过异构网络传输。使用MPEG-2视频的空间和时间属性导出一种算法,用于基于估计的感知误差为每个数据包分配权重。这些权重(指示RTP数据包的相对重要性)以及通信信道特性一起用于确定资源分配,以提供改进的容错能力并将数据包分配给各种服务类别,从而提高传输质​​量。从RTP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。该算法用于自适应分配冗余前向纠错包,以及在区分服务(DiffServ)中标记和转发RTP包。仿真结果表明,基于我们提出的视频传输方法,可以显着提高性能。

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