@inproceedings{ SkypeICCCN,
  title = {Network Characterization and Perceptual Evaluation
of Skype Mobile Videos},
  year = {2013},
  author = {S Jana and A Pande and A Chan and P Mohapatra},
  year = {2013},
  keywords = {WirelessNetworks,MultimediaCodingandCommunications,MachineLearning},
  booktitle = {22nd International Conference on Computer Communications and Networks (ICCCN) },
  abstract = {We characterize the performance of both video
and network layer properties of Skype, the most popular
video telephony application. The performance in both mobile
and stationary scenarios is investigated; considering network
characteristics such as packet loss, propagation delay, available
bandwidth and their effects on the perceptual video quality,
measured using spatial and temporal no-reference video metrics.
Based on 200+ live traces, we study the performance of this
mobile video telephony application. We model video quality as a
function of input network parameters and derive a feed-forward
Artificial-Neural-Network that accurately predicts video quality
given network conditions (0.0206 < MSE <0.570). The accuracy
of this model improves significantly by incorporating end-user
mobility as an input to the model.}
}

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