Research Article
An Improved Model based on Viewer Response to Time-varying Video Quality for Video Telephony over LTE
@INPROCEEDINGS{10.4108/eai.13-7-2017.2270097, author={Yao Sun and Fei Wang and Yuan Yao and Jing Wang and Zesong Fei}, title={An Improved Model based on Viewer Response to Time-varying Video Quality for Video Telephony over LTE}, proceedings={Workshop on QoE-Aware Resource Allocation for Multimedia Communications}, publisher={EAI}, proceedings_a={QOE-RAMC}, year={2017}, month={12}, keywords={lte video telephony qoe exponentially-weighted minkowski summation recency effect}, doi={10.4108/eai.13-7-2017.2270097} }- Yao Sun
Fei Wang
Yuan Yao
Jing Wang
Zesong Fei
Year: 2017
An Improved Model based on Viewer Response to Time-varying Video Quality for Video Telephony over LTE
QOE-RAMC
EAI
DOI: 10.4108/eai.13-7-2017.2270097
Abstract
The advent of LTE network’s full deployment has led to a proliferation of mobile video services due to the greatly improved network conditions. One area of intense research is video telephony. Apparently operators are highly concerned about the quality of experience of the video telephony service perceived by end users. This paper proposes a method to evaluate and analyze LTE video telephony performance resorting to captured statistic information. Additionally, empirical results are used to derive analytical quality assessement models as a function of time, we introduce the effect of the viewer response to time-varying video quality for video telephony into the existing models based on ITU-R G.1070. Through applying exponentially-weighted Minkowski summation, we could find that the correlation between the prediction of the improved model and subjective Mean Opinion Score becomes much better and the Pearson correlation coefficient could reach up to 0.96 through choosing appropriate parameters. Results have been validated on the basis of our own subjective video database in which video clips are reconstructed from captured files and subjective tests have been carried out involving 15 assessors using Single-Stimulus method in laboratory environment.
