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To measure the quality of experience (QoE) of a video, the current approaches of objective quality metrics development focus on how to design a video quality model, which considers the effects of the extracted features and models the Human Visual System (HVS). However, video quality metrics which try to model the HVS confronts a fact that HVS is too complicated and not well understood to model. In...
ITU has standardized a computational model as Recommendation G.1070 for Quality of Experience (QoE) planning [1]. In our previous work, we proposed a system for calculating the G.1070 visual quality estimate in a monitoring scenario [2]. In G.1070, the visual quality is based, in part, on frame rate, bitrate, and packet-loss rate. For a fixed frame rate and a fixed packet-loss rate, the G.1070 visual...
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