A review of predictive quality of experience management in video streaming services

MT Vega, C Perra, F De Turck… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Satisfying the requirements of devices and users of online video streaming services is a
challenging task. It requires not only managing the network quality of service but also to …

Quality-aware streaming and scheduling for device-to-device video delivery

J Kim, G Caire, AF Molisch - IEEE/ACM Transactions on …, 2015 - ieeexplore.ieee.org
On-demand video streaming is becoming a killer application for wireless networks. Recent
information-theoretic results have shown that a combination of caching on the users' devices …

Symformer: End-to-end symbolic regression using transformer-based architecture

M Vastl, J Kulhánek, J Kubalík, E Derner… - IEEE …, 2024 - ieeexplore.ieee.org
Many real-world systems can be naturally described by mathematical formulas. The task of
automatically constructing formulas to fit observed data is called symbolic regression …

Psychophysiology-based QoE assessment: A survey

U Engelke, DP Darcy, GH Mulliken… - IEEE Journal of …, 2016 - ieeexplore.ieee.org
We present a survey of psychophysiology-based assessment for quality of experience (QoE)
in advanced multimedia technologies. We provide a classification of methods relevant to …

A feature selection for video quality of experience modeling: A systematic literature review

F Skaka‐Čekić… - … Reviews: Data Mining and …, 2023 - Wiley Online Library
Abstract Quality of Experience (QoE) multidimensional concept is the key for successful
delivery of multimedia services. Higher user requirements for new experiences such as …

Multi-model standard for bitstream-, pixel-based and hybrid video quality assessment of UHD/4K: ITU-T P. 1204

A Raake, S Borer, SM Satti, J Gustafsson… - IEEE …, 2020 - ieeexplore.ieee.org
The paper presents a series of three new video quality model standards for the assessment
of sequences of up to UHD/4K resolution. They were developed in a competition within the …

Toward physically plausible data-driven models: A novel neural network approach to symbolic regression

J Kubalík, E Derner, R Babuška - IEEE Access, 2023 - ieeexplore.ieee.org
Many real-world systems can be described by mathematical models that are human-
comprehensible, easy to analyze and help explain the system's behavior. Symbolic …

No-reference video quality assessment based on artifact measurement and statistical analysis

K Zhu, C Li, V Asari, D Saupe - IEEE Transactions on Circuits …, 2014 - ieeexplore.ieee.org
A discrete cosine transform (DCT)-based no-reference video quality prediction model is
proposed that measures artifacts and analyzes the statistics of compressed natural videos …

Multi-objective symbolic regression for physics-aware dynamic modeling

J Kubalík, E Derner, R Babuška - Expert Systems with Applications, 2021 - Elsevier
Virtually all dynamic system control methods benefit from the availability of an accurate
mathematical model of the system. This includes also methods like reinforcement learning …

Symbolic regression driven by training data and prior knowledge

J Kubalík, E Derner, R Babuška - Proceedings of the 2020 Genetic and …, 2020 - dl.acm.org
In symbolic regression, the search for analytic models is typically driven purely by the
prediction error observed on the training data samples. However, when the data samples do …