A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction-Reference-Cited by-同舟云学术

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A Survey on Multimedia Services QoE Assessment and Machine Learning-Based Prediction

Published:2022 Issue: Volume:10 Page:19507-19538
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kougioumtzidis Georgios¹^ORCID,Poulkov Vladimir¹^ORCID,Zaharis Zaharias D.²^ORCID,Lazaridis Pavlos I.³^ORCID

Affiliation:

1. Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria

2. School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

3. School of Computing and Engineering, University of Huddersfield, Huddersfield, U.K.

Funder

H2020 Marie SkodowskaCurie Actions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09706206.pdf?arnumber=9706206

Reference177 articles.

1. Quality Enhancement of Gaming Content using Generative Adversarial Networks

2. NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction

3. nofu — A Lightweight No-Reference Pixel Based Video Quality Model for Gaming Content

4. DEMI: Deep Video Quality Estimation Model using Perceptual Video Quality Dimensions

5. A low-complexity psychometric curve-fitting approach for the objective quality assessment of streamed game videos

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