Ajrish, S, Al-Tuma, R.G and Al-jobouri, Laith (2018) Quality of Experience (QoE) measurement algorithm for transmitted video. In: 10th Computer Science and Electronic Engineering Conference, 19-21 Sep 2018, Colchester, UK. (Unpublished)

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Abstract

Technological development in recent years leads to increase the access speed in the networks that allow a huge number of users watching videos online. Video streaming is one of the most popular applications in networking systems. Quality of Experience (QoE) measurement for transmitted video streaming may deal with data transmission problem such as packet loss and delay. This may effects video quality and leads to time consuming. We have developed an objective video quality measurement algorithm that uses different features, which affect video quality. The proposed algorithm has been estimated the subjective video quality with suitable accuracy. In this work, a video QoE estimation metric for video streaming services is presented where the proposed metric does not require information on the original video. This work predicts QoE of videos by extracting features. Two types of features have been used, pixel-based features and network-based features. These features have been used to train an Adaptive Neural Fuzzy

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Quality of Experience (QoE), Video Quality Metric (VQM), Mean Opinion Score (MOS), Structural Similarity (SSIM).
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General)
Divisions:	Faculty of Health & Science > Department of Science & Technology
Depositing User:	David Upson-Dale
Date Deposited:	22 Aug 2018 11:25
Last Modified:	22 Aug 2018 11:29
URI:	https://oars.uos.ac.uk/id/eprint/703

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