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Prediction of perceptual quality for mobile 3D video using fuzzy inference systems

M. Alreshoodi, and E. Danish, and J. Woods, and A. Fernando, and C. De Alwis, (2015) Prediction of perceptual quality for mobile 3D video using fuzzy inference systems. In: 2015 IEEE International Conference on Consumer Electronics (ICCE), 2015-01-09 - 2015-01-12.

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Abstract

A predictive model for the perceptual quality of mobile 3D video is proposed and evaluated. Based on fuzzy inference systems (FIS), the model exploits application and physical layer parameters. Simulation results reflect significant prediction accuracy of the model with a correlation coefficient of 92.82% and 0.0983 root mean square error.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Notes: A predictive model for the perceptual quality of mobile 3D video is proposed and evaluated. Based on fuzzy inference systems (FIS), the model exploits application and physical layer parameters. Simulation results reflect significant prediction accuracy of the model with a correlation coefficient of 92.82% and 0.0983 root mean square error.
Uncontrolled Keywords: fuzzy reasoning; mean square error methods; mobile communication; video communication; FIS; correlation coefficient; fuzzy inference systems; mobile 3D video; perceptual quality; physical layer parameters; predictive model; root mean square error; Estimation; Predictive models; Quality assessment; Quality of service; Streaming media; Three-dimensional displays; Video recording
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 25 Aug 2015 10:33
Last Modified: 15 Jan 2022 00:58
URI: http://repository.essex.ac.uk/id/eprint/14610

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