We demonstrate in this paper the relationship between viewer QoE (quality of experience) and MOS (Mean Opinion Score) and the HTTP Adaptive Streaming Video Quality (VQ) rate. We will show that MOS scores are impacted by the variance (or standard deviation-SD) of the VQ rate more so than the mean VQ level. Correlation between MOS and the standard deviation of the delivered VQ rate is 2:1 greater than between MOS and the mean VQ rate. In other words users care more about maintaining a consistent VQ level than they do in a higher bit rate. We also show that inelasticity exists between the mean VQ rate and MOS scores, where multi megabit changes in VQ rates result in only modest changes in MOS scores. Finally we demonstrate that we can accurately predict MOS scores incorporating both the mean VQ level and the SD of the VQ level. Two analytical methods are given for predicting MOS, and are shown to have a high correlation and low error.
[1]
Margaret H. Pinson,et al.
A new standardized method for objectively measuring video quality
,
2004,
IEEE Transactions on Broadcasting.
[2]
Li Junli,et al.
An Image Quality Estimation Model Based on HVS
,
2006,
TENCON 2006 - 2006 IEEE Region 10 Conference.
[3]
F. Liberal,et al.
Video Quality Prediction Model for H.264 Video over UMTS Networks and Their Application in Mobile Video Streaming
,
2010,
2010 IEEE International Conference on Communications.
[4]
Stefan Winkler,et al.
Video quality evaluation for Internet streaming applications
,
2003,
IS&T/SPIE Electronic Imaging.
[5]
Sujata Banerjee,et al.
Metrics for Evaluating Video Streaming Quality in Lossy IEEE 802.11 Wireless Networks
,
2010,
2010 Proceedings IEEE INFOCOM.