Publications
List of scientific publications originating from activities conducted directly or in collaboration with this group:
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Modeling Subject Scoring Behaviors in Subjective Experiments Based on a Discrete Quality Scale,
by L. Fotio Tiotsop, A. Servetti, M. Barkowsky, E. Masala, in IEEE Transactions on Multimedia,
2024, accepted for publication, DOI: 10.1109/TMM.2024.3382483 Download open access -
A Scoring Model Considering the Variability of Subjects’ Characteristics in Subjective Experiments,
by Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala,
in Proc. 15th International Conference on Quality of Multimedia Experience (QoMEX),
Jun 2023, pp. 1-6, Ghent, Belgium. DOI: 10.1109/QoMEX58391.2023.10178476 Download Preprint -
Training the DNN of a Single Observer by Conducting Individualized Subjective Experiments,
by Pavel Majer, Lohic Fotio Tiotsop, Marcus Barkowsky,
in Proc. 15th International Conference on Quality of Multimedia Experience (QoMEX),
Jun 2023, pp. 1-6, Ghent, Belgium. DOI: 10.1109/QoMEX58391.2023.10178608 Download Preprint (Download software) -
Predicting individual quality ratings of compressed images through deep CNNs-based artificial observers,
by: Lohic Fotio Tiotsop, Antonio Servetti, Marcus Barkowsky, Peter Pocta, Tomas Mizdos, Glenn Van Wallendael, Enrico Masala,
in Signal Processing: Image Communication,
Mar 2023, vol. 112, pp. 1-15, DOI: 10.1016/j.image.2022.116917 Download Preprint -
Regularized Maximum Likelihood Estimation of the Subjective Quality from Noisy Individual Ratings,
by: Lohic Fotio Tiotsop, Antonio Servetti, Marcus Barkowsky, Enrico Masala,
in Proc. of 14th International Conference on Quality of Multimedia Experience (QoMEX),
Sep 2022, Lippstadt, Germany. DOI: 10.1109/QoMEX55416.2022.9900903 Download Preprint -
Mimicking Individual Media Quality Perception with Neural Network Based Artificial Observers,
by: Lohic Fotio Tiotsop, Tomas Mizdos, Marcus Barkowsky, Peter Pocta, Antonio Servetti, Enrico Masala,
in ACM Transactions on Multimedia Computing, Communications and Applications,
Jan 2022, vol. 18, pp. 12:1-12:25, DOI: 10.1145/3464393 Download Preprint -
On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics,
by: Lohic Fotio Tiotsop, Florence Agboma, Glenn Van Wallendael, Ahmed Aldahdooh, Sebastian Bosse, Lucjan Janowski, Marcus Barkowsky, Enrico Masala,
in IEEE Access,
Nov 2021, vol. 9, pp. 152923-152937, DOI: 10.1109/ACCESS.2021.3127395 Download open access (Download software) -
How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets?,
by Lohic Fotio Tiotsop, Tomas Mizdos, Enrico Masala, Marcus Barkowsky, Peter Pocta,
in Proc. of IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP),
2021, pp. 1-6, Tampere, Finland, Oct 2021. DOI: 10.1109/MMSP53017.2021.9733456 Download Preprint -
Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset,
by Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala,
in Human Vision and Electronic Imaging (HVEI) 2020,
2020, Burlingame, CA, USA, Jan 2020, DOI: 10.2352/ISSN.2470-1173.2020.11.HVEI-093 Download open access -
Predicting Single Observer’s Votes from Objective Measures using Neural Networks,
by Lohic Fotio Tiotsop, Tomas Mizdos, Miroslav Uhrina, Peter Pocta, Marcus Barkowsky, Enrico Masala,
in Human Vision and Electronic Imaging (HVEI) 2020,
2020 Burlingame, CA, USA, Jan 2020, DOI: 10.2352/ISSN.2470-1173.2020.11.HVEI-130 Download open access -
Full Reference Video Quality Measures Improvement using Neural Networks,
by Lohic Fotio Tiotsop, Antonio Servetti, Enrico Masala,
in Proc. of IEEE 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
2020, pp. 2737-2741, Barcelona, Spain, May 2020, DOI: 10.1109/ICASSP40776.2020.9053739 Download open access -
Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach,
by Lohic Fotio Tiotsop, Tomas Mizdos, Miroslav Uhrina, Marcus Barkowsky, Peter Pocta, Enrico Masala,
in Multimedia Tools and Applications,
Sep 2020, vol. 80, p. 1-19, DOI: 10.1007/s11042-020-09704-w Download open access -
Improved Performance Measures for Video Quality Assessment Algorithms Using Training and Validation Sets,
by Ahmed Aldahdooh, Enrico Masala, Olivier Janssens, Glenn Van Wallendael, Marcus Barkowsky, Patrick Le Callet,
in IEEE Transactions on Multimedia,
Aug 2019, vol. 21, no. 8, pp. 2026-2014, DOI: 10.1109/TMM.2018.2882091 Download Preprint -
Computing Quality-of-Experience Ranges for Video Quality Estimation,
by Lohic Fotio Tiotsop, Enrico Masala, Ahmed Aldahdooh, Glenn Van Wallendael, Marcus Barkowsky,
in Proc. 11th International Conference on Quality of Multimedia Experience (QoMEX),
Jun 2019, pp. 1-3, Berlin, Germany, Jun 2019, DOI: 10.1109/QoMEX.2019.8743303 Download Preprint -
Improving relevant subjective testing for validation: Comparing machine learning algorithms for finding similarities in VQA datasets using objective measures,
by Ahmed Aldahdooh, Enrico Masala, Glenn Van Wallendael, Peter Lambert, Marcus Barkowsky,
in Signal Processing: Image Communication,
May 2019, pp. 32-41, DOI: https://doi.org/10.1016/j.image.2019.01.004 Download Preprint -
Reproducible research framework for objective video quality measures using a large-scale database approach,
by Ahmed Aldahdooh, Enrico Masala, Glenn Van Wallendael, Marcus Barkowsky,
in SoftwareX,
Jul 2018, vol. 8, pp. 64-68, DOI: 10.1016/j.softx.2017.09.004 Download Open access/preprint -
Framework for reproducible objective video quality research with case study on PSNR implementations,
by Ahmed Aldahdooh, Enrico Masala, Glenn Van Wallendael, Marcus Barkowsky,
in Digital Signal Processing,
Jun 2018, vol. 77, pp. 195-206, DOI: 10.1016/j.dsp.2017.09.013 Download Preprint -
Comparing Simple Video Quality Measures for Loss-Impaired Video Sequences on a Large-Scale Database,
by Ahmed Aldahdooh, Enrico Masala, Olivier Janssens, Glenn Van Wallendael, Marcus Barkowsky,
in Proc. 8th International Conference on Quality of Multimedia Experience (QoMEX),
Jun 2016, pp. 1-6, Lisbon, Portugal, Jun 2016, DOI: 10.1109/QoMEX.2016.7498941 Download Preprint -
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