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Fuzzy logic inference system-based hybrid quality prediction model for wireless 4kUHD H.265-coded video streaming

M. Alreshoodi, and A. O. Adeyemi-Ejeye, and J. Woods, and S. D. Walker, (2015) 'Fuzzy logic inference system-based hybrid quality prediction model for wireless 4kUHD H.265-coded video streaming.' IET Networks, 4 (6). pp. 296-303. ISSN 2047-4954

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Abstract

Networked visual applications such video streaming have grown exponentially in recent years, yet are known to be sensitive to network impairments. However, available measurement techniques that adopt a full reference model are impractical in real-time streaming because they require the original video sequence available at the receivers side. The primary aim of this study is to present a hybrid no-reference prediction model for the perceptual quality of 4kUHD H.265-coded video in the wireless domain. The contributions of this paper are two-fold: first, an investigation of the impact of quality of service (QoS) parameters on 4kUHD H.265-coded video transmission in an experimental environment; second, objective model based on fuzzy logic inference system is developed to predict the visual quality by mapping QoS parameters to the measured quality of experience. The model is evaluated in contrast to random neural networks. The results show that good prediction accuracy was obtained from the proposed hybrid prediction model. This study will help in the development of a reference-free video quality prediction model and QoS control methods for 4kUHD video streaming.

Item Type: Article
Additional Information: Networked visual applications such video streaming have grown exponentially in recent years, yet are known to be sensitive to network impairments. However, available measurement techniques that adopt a full reference model are impractical in real-time streaming because they require the original video sequence available at the receivers side. The primary aim of this study is to present a hybrid no-reference prediction model for the perceptual quality of 4kUHD H.265-coded video in the wireless domain. The contributions of this paper are two-fold: first, an investigation of the impact of quality of service (QoS) parameters on 4kUHD H.265-coded video transmission in an experimental environment; second, objective model based on fuzzy logic inference system is developed to predict the visual quality by mapping QoS parameters to the measured quality of experience. The model is evaluated in contrast to random neural networks. The results show that good prediction accuracy was obtained from the proposed hybrid prediction model. This study will help in the development of a reference-free video quality prediction model and QoS control methods for 4kUHD video streaming.
Uncontrolled Keywords: fuzzy logic; fuzzy reasoning; image sequences; neural nets; quality of experience; quality of service; video coding; video streaming; 4kUHD H.265-coded video transmission; QoS control methods; QoS parameter mapping; full reference model; fuzzy logic inference system-based hybrid quality prediction model; hybrid no-reference prediction model; measurement techniques; random neural networks; reference-free video quality prediction model; video sequence; visual quality prediction; wireless 4kUHD H.265-coded video streaming; wireless domain
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: 14 Dec 2016 07:14
Last Modified: 15 Jan 2022 00:47
URI: http://repository.essex.ac.uk/id/eprint/18548

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