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No-reference Perceptual Quality Assessment for Streaming Video Based on Simple End-to-end Network Measures

机译:基于简单的端到端网络措施的流媒体视频的无引用感知质量评估

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Video compression and transmission are essential to IPTV service providers. Errors in transmission may introduce degradation on the quality of the video sequences. In this paper we focus on the transmission process and propose an analytical framework based on no-reference perceptual quality assessment to evaluate the impact of packet loss on the images of video sequences. Two network parameters are employed to characterize the packet loss pattern of an IP network. The regression model established in this paper demonstrated a strong correlation between the network conditions and the quality of video sequences. The method developed in this paper enables the choice of network parameters to estimate users' QoE, which is very useful in IPTV network evaluation.
机译:视频压缩和传输对IPTV服务提供商至关重要。传输中的错误可能会导致视频序列质量的劣化。在本文中,我们专注于传输过程,并根据无引用感知质量评估提出分析框架,以评估数据包丢失对视频序列图像的影响。使用两个网络参数来表征IP网络的分组丢失模式。本文建立的回归模型展示了网络条件与视频序列质量之间的强烈相关性。本文开发的方法使得能够选择网络参数来估计用户的QoE,这在IPTV网络评估中非常有用。

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