Method and Apparatus for Measuring Quality of Experience of Mobile Video Service

摘要

The method includes: processing a PSNR of each segment of each sample video, determining an ePSNR predictive model according to preset parameters obtained after processing and mean opinion scores of all sample videos, and determining an enhanced mean opinion score eMOS predictive model according to the predictive model. Then, for any video that needs to be evaluated, QoE of the video that needs to be evaluated may be determined according to only the enhanced MOS predictive model and an ePSNR determined according to the ePSNR predictive model. In comparison with a prior-art method for determining QoE in which only a mean value of PERNs of all frames is considered, in this process of measuring quality of experience of a mobile video service, as many as factors that affect a PSNR of a video are considered. Therefore, accurate measurement of quality of experience of an HAS video service can be implemented.

主权项

1. A method for measuring quality of experience (QoE) of a mobile video service, the method comprising:
pre-processing a peak signal-to-noise ratio (PSNR) of each segment of a sample video at each bit rate to obtain a differential PSNR (dPSNR) of each segment at each bit rate, wherein each dPSNR is a difference between a PSNR of the segment at the bit rate and a PSNR of the segment corresponding to a maximum bit rate in the same sample video; determining, for each dPSNR, a preset parameter that is of a received video and is obtained according to the sample video, wherein the preset parameter comprises a mean dPSNR, a maximum dPSNR, a minimum dPSNR, and a variance std dPSNR; determining an enhanced PSNR (ePSNR) predictive model according to the preset parameters and corresponding mean opinion scores (MOSs); and determining an enhanced MOS (eMOS) predictive model according to the ePSNR predictive model.