Source Separation Approach to Video Quality Prediction in Computer Networks

Ruairí de Fréin

doi:10.1109/LCOMM.2016.2563418

Source Separation Approach to Video Quality Prediction in Computer Networks

Ruairí de Fréin

School of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

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. It mitigates these errors and improves the service-quality predictions for video-on-demand by ≈ 0.6-2 dB.

Original language	English
Article number	7465715
Pages (from-to)	1333-1336
Number of pages	4
Journal	IEEE Communications Letters
Volume	20
Issue number	7
DOIs	https://doi.org/10.1109/LCOMM.2016.2563418
Publication status	Published - Jul 2016

Keywords

Prediction Methods
source separation
video-on-demand

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10.1109/LCOMM.2016.2563418

https://arrow.tudublin.ie/engscheleart2/104Licence: CC BY-NC-SA

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title = "Source Separation Approach to Video Quality Prediction in Computer Networks",

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. It mitigates these errors and improves the service-quality predictions for video-on-demand by ≈ 0.6-2 dB.",

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year = "2016",

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AB - 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. It mitigates these errors and improves the service-quality predictions for video-on-demand by ≈ 0.6-2 dB.

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KW - video-on-demand

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Source Separation Approach to Video Quality Prediction in Computer Networks

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Keywords

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