Packet-layer model for quality assessment of encrypted video in IPTV services

In this paper, a packet-layer quality assessment model is proposed for predicting the subjective quality of encrypted video for IPTV services. The detected information from encrypted video-stream is parsed into frame layer, and a novel estimation of frame type and Group-Of-Picture (GOP) structures is proposed to assist the parameter extraction utilized in the model. An efficient loss-related parameter is developed to reveal the visible degradation by loss. The quality assessment model focuses on predicting the quality measurement caused by both coding and channel artifacts. The cross-validation results on numerous databases show that the proposed model is not only better than other compared ones in performance, but also more generalized and robust to various testing conditions.