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.
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.
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.
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: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 25 Aug 2015 10:33 |
| Last Modified: | 06 Dec 2024 00:02 |
| URI: | http://repository.essex.ac.uk/id/eprint/14610 |