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QoS to QoE Mapping Function for Iptv Quality Assessement Based on Kohonen Map: A Pilot Study

机译:基于Kohonen地图的IPTV质量评估QoS映射函数:试验研究

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This paper deals with an analysis of Kohonen map usage possibility for real-time evaluation of end-user video quality perception. The Quality of Service framework (QoS) describes how the network impairments (network utilization or packet loss) influence the picture quality, but it does not reflect precisely on customer subjective perceived quality of received video stream. There are several objective video assessment metrics based on mathematical models trying to simulate human visual system but each of them has its own evaluation scale. This causes a serious problem for service providers to identify a critical point when intervention into the network behaviour is needed. On the other hand, subjective tests (Quality of Experience concept) are time-consuming and costly and of course, cannot be performed in real-time. Therefore, we proposed a mapping function able to predict subjective end-user quality perception based on the situation in a network, video stream features and results obtained from the objective video assessment method.
机译:本文涉及Kohonen地图使用终端用户视频质量感知的实时评估的可能性。服务框架质量(QoS)描述了网络损伤(网络利用率或数据包丢失)如何影响图像质量,但它没有精确反映出客户主观感知的接收视频流的质量。基于尝试模拟人类视觉系统的数学模型存在几个客观视频评估指标,但是它们中的每一个都有自己的评价规模。这导致服务提供商对所需干预到网络行为时识别临界点的严重问题。另一方面,主观测试(经验质量概念)是耗时且昂贵的,当然,不能实时进行。因此,我们提出了一种能够基于网络中的情况,从目标视频评估方法获得的视频流特征和结果预测主观最终用户质量感知的映射功能。

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