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

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.