Cross-layer QoE prediction for mobile video based on random neural networks

Emad Danish; Mohammed Alreshoodi; Anil Fernando; Bander Alzahrani; Sami Alharthi

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Cross-layer QoE prediction for mobile video based on random neural networks

Emad Danish, Mohammed Alreshoodi, Anil Fernando, Bander Alzahrani and Sami Alharthi

The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.227

01/01/2016

Abstract

Conference Title: 2016 IEEE International Conference on Consumer Electronics (ICCE) Conference Start Date: 2016, Jan. 7 Conference End Date: 2016, Jan. 11 Conference Location: Las Vegas, NV, USA Based on random neural networks, a cross-layer prediction model is proposed for estimating the perceptual quality of mobile video in no reference mode. The model exploits key parameters affecting video quality. Simulation results show considerable predictability performance with R-squared correlation of 0.90 and 0.39 root mean squared error.

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Title: Cross-layer QoE prediction for mobile video based on random neural networks
Creators - without role: Emad Danish
Mohammed Alreshoodi
Anil Fernando
Bander Alzahrani
Sami Alharthi
Publication Details: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.227
Publisher: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Identifiers: 9911348108331
Academic Unit: Taif University; King Abdulaziz University; Qassim University
Language: English
Resource Type: Conference proceeding