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Deduction of Video Quality Degradation in Transport Networks

机译:传输网络中视频质量下降的推导

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It is already known that significance marking of IP video packets in conjunction with a corresponding evaluation in the transport network considerably protects the quality of videos against degradation from network congestion. The focus of this paper therefore is the investigation of possibilities to take benefit from such significance marks. In particular the interest is to estimate the video quality in the network without having to spend considerable effort for decoding or even decrypting of the video stream. While the merit of significance markings has already been proven by simulation, now the benefits have been demonstrated by experiments on actual transport network hardware. Thereby, network element typical Ethernet performance counters registering the amount of received and lost bytes have been modified for differentiation by the significance marks. Those counters, retrieved per second, were compared with the quality of the video. It is discussed how to construct a metric for video quality, and the role of a suitable definition of an objective reference for the calibration of this metric: The metric has to regard specifics of the video compression, video encoding and transport network characteristics. Results from these experiments are provided and challenges for further refinement and implementation are pointed out.
机译:它已经知道,意义与传输网络中的相应的评价结合大大保护的视频不被降解,从网络拥塞的高质量IP视频数据包的标记。因此,本文的重点是可能性的调查采取受益于这种意义痕迹。特别兴趣是估计网络中的视频质量,而不必花费大量的精力用于解码,甚至解密的视频流。虽然意义标记的优点已经被证明仿真,现在的收益已经由实际的交通网络硬件实验证明。从而,网络元件典型的以太网性能计数器注册接收和丢失的字节数已被意义马克改性分化。这些计数器,每秒检索用的视频的质量进行比较。它讨论了如何构建的视频质量的度量标准,以及用于该度量的校准一个目标参考的合适定义的角色:度量具有都把的视频压缩,视频编码和传输网络的特性的细节。提供这些实验的结果,并进一步细化和执行方面的挑战,指出了。

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