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

Abstract : Nowadays, Network Operators (NOs) and Service Providers (SPs) are more interested by the user's satisfaction measurement 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, we propose a new method to build a predictive model to estimate user's satisfaction in term of Mean Opinion Score (MOS). The proposal 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 backjumping technique to select the most beneficial factors to predict the optimal user's satisfaction.
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Conference papers
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https://hal.inria.fr/hal-01265954
Contributor : Muhammad Sajid Mushtaq <>
Submitted on : Monday, February 1, 2016 - 6:37:07 PM
Last modification on : Wednesday, July 8, 2020 - 7:18:02 AM

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  • HAL Id : hal-01265954, version 1

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Amour Lamine, Sami Souihi, Muhammad Sajid Mushtaq, Hoceini Said, Abdelhamid Mellouk. Perceived Video Quality Evaluation based on Interactive/Repulsive relation between the QoE IFs. IEEE International Conference on Communications (ICC'16), May 2016, Kuala Lumpur, Malaysia. ⟨hal-01265954⟩

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