Title

Source Separation Approach to Video Quality Prediction in Computer Networks

Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

Applied mathematics, Statistics, Computer Sciences, Acoustics, Electrical and electronic engineering, Communication engineering and systems, telecommunications

Publication Details

R. de Frein, "Source Separation Approach to Video Quality Prediction in Computer Networks," in IEEE Communications Letters , vol.PP, no.99, pp.1-1
doi: 10.1109/LCOMM.2016.2563418
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7465715&isnumber=5534602

Abstract

Time-varying loads introduce errors in the estimated model parameters of service-level predictors in Computer Networks. A load-adjusted modification of a traditional unadjusted service-level predictor is contributed, based on Source Separation (SS). It mitigates these errors and improves service-quality predictions for Video-on-Demand (VoD) by :6 to 2dB.

DOI

10.1109/LCOMM.2016.2563418