Workshop on QoE-Aware Resource Allocation for Multimedia Communications

Research Article

An Improved Model based on Viewer Response to Time-varying Video Quality for Video Telephony over LTE

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  • @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
Yao Sun1,*, Fei Wang1, Yuan Yao1, Jing Wang1, Zesong Fei1
  • 1: Beijing Institute of Technology
*Contact email: yao_sun@bit.edu.cn

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.