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2020 – today
- 2023
[j4]Lohic Fotio Tiotsop
, Antonio Servetti, Marcus Barkowsky, Peter Pocta, Tomas Mizdos, Glenn Van Wallendael, Enrico Masala:
Predicting individual quality ratings of compressed images through deep CNNs-based artificial observers. Signal Process. Image Commun. 112: 116917 (2023)- 2022
- [j3]Lohic Fotio Tiotsop, Tomas Mizdos, Marcus Barkowsky, Peter Pocta, Antonio Servetti, Enrico Masala:
Mimicking Individual Media Quality Perception with Neural Network based Artificial Observers. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 12:1-12:25 (2022) - 2021
- [j2]Lohic Fotio Tiotsop, Tomas Mizdos, Miroslav Uhrina, Marcus Barkowsky, Peter Pocta, Enrico Masala:
Modeling and estimating the subjects' diversity of opinions in video quality assessment: a neural network based approach. Multim. Tools Appl. 80(3): 3469-3487 (2021) - [j1]Tomas Mizdos, Marcus Barkowsky, Miroslav Uhrina, Peter Pocta:
How to reuse existing annotated image quality datasets to enlarge available training data with new distortion types. Multim. Tools Appl. 80(18): 28137-28159 (2021) - [c3]Lohic Fotio Tiotsop, Tomas Mizdos, Enrico Masala, Marcus Barkowsky, Peter Pocta:
How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets? MMSP 2021: 1-6 - 2020
- [c2]Lohic Fotio Tiotsop, Tomas Mizdos, Miroslav Uhrina, Peter Pocta, Marcus Barkowsky, Enrico Masala:
Predicting Single Observer's Votes from Objective Measures using Neural Networks. HVEI 2020 - [c1]Miroslav Uhrina, Juraj Bienik, Tomas Mizdos:
QoE on H.264 and H.265: Crowdsourcing versus Laboratory Testing. RADIOELEKTRONIKA 2020: 1-6
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