<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper aims to provide objective quality metrics assessment for cloud gaming using machine learning algorithms. Three classification algorithms (i.e., Random Forest, Random Three and J-48) have been used for the development of models for objective quality assessment of two metrics: blurriness and blockiness. The results indicate that Random Forest has the best performance in this experimental case of objective quality metrics assessment for cloud gaming. Future research activities will cover comparison of a broad range of objective quality metrics and machine learning algorithms while using larger dataset to enhance the results significance.</p>
</abstract>

This paper aims to provide objective quality metrics assessment for cloud gaming using machine learning algorithms. Three classification algorithms (i.e., Random Forest, Random Three and J-48) have been used for the development of models for objective quality assessment of two metrics: blurriness and blockiness. The results indicate that Random Forest has the best performance in this experimental case of objective quality metrics assessment for cloud gaming. Future research activities will cover comparison of a broad range of objective quality metrics and machine learning algorithms while using larger dataset to enhance the results significance.

Objective Quality Metrics Assessment for Cloud Gaming

B&H Electrical Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Objective Quality Metrics Assessment for Cloud Gaming"}

This paper aims to provide objective quality metrics assessment for cloud gaming using machine learning algorithms. Three classification algorithms (i.e.,...

Objective Quality Metrics Assessment for Cloud Gaming

Article Category: Original scientific paper

Publié en ligne: 04 juil. 2023

Pages: 35 - 42

Reçu: 25 avr. 2023

Accepté: 25 mai 2023

DOI: https://doi.org/10.2478/bhee-2023-0005

Mots clés
cloud gaming, objective quality assessment, blockiness, blurriness, machine learning

© 2023 Jasmina Baraković Husić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Objective Quality Metrics Assessment for Cloud Gaming

Article Category: Original scientific paper

Publié en ligne: 04 juil. 2023

Pages: 35 - 42

Reçu: 25 avr. 2023

Accepté: 25 mai 2023

DOI: https://doi.org/10.2478/bhee-2023-0005

Mots cléscloud gaming, objective quality assessment, blockiness, blurriness, machine learning

© 2023 Jasmina Baraković Husić et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
cloud gaming, objective quality assessment, blockiness, blurriness, machine learning