A survey on multimedia services QoE assessment and machine learning-based prediction

G Kougioumtzidis, V Poulkov, ZD Zaharis… - Ieee …, 2022 - ieeexplore.ieee.org
The groundbreaking evolution in mobile and wireless communication networks design in
recent years, in combination with the advancement of mobile terminal equipment …

Context-aware QoE modelling, measurement, and prediction in mobile computing systems

K Mitra, A Zaslavsky, C Åhlund - IEEE Transactions on Mobile …, 2013 - ieeexplore.ieee.org
Quality of Experience (QoE) as an aggregate of Quality of Service (QoS) and human user-
related metrics will be the key success factor for current and future mobile computing …

No-reference video quality estimation based on machine learning for passive gaming video streaming applications

N Barman, E Jammeh, SA Ghorashi, MG Martini - IEEE Access, 2019 - ieeexplore.ieee.org
Recent years have seen increasing growth and popularity of gaming services, both
interactive and passive. While interactive gaming video streaming applications have …

Empirical study based on machine learning approach to assess the QoS/QoE correlation

MS Mushtaq, B Augustin… - 2012 17th European …, 2012 - ieeexplore.ieee.org
The appearance of new emerging multimedia services have created new challenges for
cloud service providers, which have to react quickly to end-users experience and offer a …

QoE modelling, measurement and prediction: A review

K Mitra, A Zaslavsky, C Åhlund - arxiv preprint arxiv:1410.6952, 2014 - arxiv.org
In mobile computing systems, users can access network services anywhere and anytime
using mobile devices such as tablets and smart phones. These devices connect to the …

Acceptability-based QoE models for mobile video

W Song, DW Tjondronegoro - IEEE Transactions on Multimedia, 2014 - ieeexplore.ieee.org
Quality of experience (QoE) measures the overall perceived quality of mobile video delivery
from subjective user experience and objective system performance. Current QoE prediction …

On user-centric modular QoE prediction for VoIP based on machine-learning algorithms

P Charonyktakis, M Plakia… - … on mobile computing, 2015 - ieeexplore.ieee.org
The impact of the network performance on the quality of experience (QoE) for various
services is not well-understood. Assessing the impact of different network and channel …

Survey on machine learning-based QoE-QoS correlation models

S Aroussi, A Mellouk - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
The machine learning provides a theoretical and methodological framework to quantify the
relationship between user OoE (Quality of Experience) and network QoS (Quality of …

Machine learning based QoE prediction in SDN networks

T Abar, AB Letaifa, S El Asmi - 2017 13th International Wireless …, 2017 - ieeexplore.ieee.org
Our work in this paper presents a prediction of quality of experience based on full reference
parametric (SSIM, VQM) and application metrics (resolution, bit rate, frame rate) in SDN …

Survey on QoE assessment approach for network service

M Yang, S Wang, RN Calheiros, F Yang - Ieee Access, 2018 - ieeexplore.ieee.org
With the development of converged all-IP networks, new network services-supporting,
among others, image, audio, and video-with high diversity emerge, which brings huge …