Prediction of Quality of User Experience for Video Streaming over IP Networks

نویسندگان

  • Martin Kapa
  • Lucia Happe
  • Frantisek Jakab
چکیده

This paper deals with the video quality evaluation of mobile video delivery. It analyzes the current trends in video quality evaluation while trying to shift video quality measurement from service-centered to more user-centered. The attention is in defining the causalities among specific video and network parameters, and perceived video quality. As a part of this target, vast subjective video quality survey has been conducted to define these causalities. These causalities were particularly important in designing of our video quality prediction model based on Bayesian network. Proposed solution and prediction results were then experimentally evaluated compared to video quality results of independent subjective video quality assessment.

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تاریخ انتشار 2013