This paper presents a model to predict video quality perceived by the broadcast digital television (DTV) viewer. We present how\nnoise on DTV can introduce individual transport stream (TS) packet losses at the receiver. The type of these errors is different\nthan the produced on IP networks. Different scenarios of TS packet loss are analyzed, including uniform and burst distributions.\nThe results show that there is a high variability on the perceived quality for a given percentage of packet loss and type of error.\nThis implies that there is practically no correlation between the type of error or the percentage of packets loss and the perceived\ndegradation. A new metric is introduced, theweighted percentage of slice loss, which takes into account the affected slice type in each\nlost TS packet.We showthat this metric is correlated with the video quality degradation.Anovel parametric model for video quality\nestimation is proposed, designed, and verified based on the results of subjective tests in SD and HD. The results were compared to a\nstandard model used in IP transmission scenarios. The proposed model improves Pearson Correlation and root mean square error\nbetween the subjective and the predicted MOS.
Loading....