Abstract
Video streaming over networks has grown rapidly in recent years. Increasing focus has gradually turned from Quality of Service (QoS) awareness to user Quality of Experience (QoE) awareness. In this paper, we propose a unified QoE prediction framework for HEVC encoded video streaming. Firstly, the impact of network impairment on QoE is modelled by packet loss rate. Secondly, features of HEVC encoding process are analyzed and the most relevant one is selected to formulate the impact of HEVC encoder. Thirdly, the impact of video content is incorporated by analyzing the average number of bits for one coding unit (CU). Finally, the impacts of network impairment, HEVC encoder and video content are taken into account as multiplicative factors to develop a QoE metric. Experiments has been done for typical video sequences in terms of Pearson correlation coefficient, Spearman correlation coefficient and outlier ratio. Results show that the proposed QoE framework not only provides good correlation (93.4%) with subjective ratings, but also outperforms the existing results.
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