Perceived Video Quality Evaluation based on Interactive/Repulsive relation between the QoE IFs

L. Amour 1 S. Souihi 1 M. S. Mushtaq 1 S. Hoceini 1 A. Mellouk 1
1 CIR
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : The user satisfaction measurement has gained high attention from Network Operators (NOs) and Service Providers (SPs) because their businesses are highly dependent on the user's satisfaction. Generally, the traditional strategies to measure the user's perception are based on Quality of Service (QoS), which is not sufficient to reflect the real user's perceived quality. Therefore, NOs and SPs start to develop new strategies based on the Quality of Experience (QoE) metric to analyze the relationship between the user's satisfaction and influence factors (QoE IFs). In this paper, a new method to build a predictive model to estimate user's satisfaction in terms of Mean Opinion Score (MOS) is proposed. The proposed method uses the dataset collected using the controlled testbed based on the YouTube video service. In the proposed model, the correlation matrix is used to develop a new heuristic method that used back-jumping technique to select the most beneficial factors to predict the optimal user's satisfaction.
Keywords : Crowdsourcing Mean Opinion Score (MOS) Pearson correlation Quality of Experience (QoE) YouTube video
Type de document :
Communication dans un congrès
Proc. Of the IEEE International Conference on Communications, ICC 2016, 2016, Kuala Lumpur, Malaysia. pp.1-7, 2016
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https://hal.archives-ouvertes.fr/hal-01676588
Contributeur : Lab Lissi <>
Soumis le : vendredi 5 janvier 2018 - 17:44:36
Dernière modification le : mercredi 20 février 2019 - 10:59:17

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  • HAL Id : hal-01676588, version 1

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L. Amour, S. Souihi, M. S. Mushtaq, S. Hoceini, A. Mellouk. Perceived Video Quality Evaluation based on Interactive/Repulsive relation between the QoE IFs. Proc. Of the IEEE International Conference on Communications, ICC 2016, 2016, Kuala Lumpur, Malaysia. pp.1-7, 2016. 〈hal-01676588〉

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