| A new method for face recognition using convolutional neural network P Kamencay, M Benco, T Mizdos, R Radil Advances in Electrical and Electronic Engineering 15 (4), 663-672, 2017 | 147 | 2017 |
| Perceived quality of full HD video-subjective quality assessment J Bienik, M Uhrina, M Vaculik, T Mizdos Advances in Electrical and Electronic Engineering 14 (4), 437-444, 2016 | 9 | 2016 |
| Mimicking individual media quality perception with neural network based artificial observers LF Tiotsop, T Mizdos, M Barkowsky, P Pocta, A Servetti, E Masala ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 8 | 2022 |
| Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach L Fotio Tiotsop, T Mizdos, M Uhrina, M Barkowsky, P Pocta, E Masala Multimedia Tools and Applications 80, 3469-3487, 2021 | 7 | 2021 |
| QoE on H. 264 and H. 265: crowdsourcing versus laboratory testing M Uhrina, J Bienik, T Mizdos 2020 30th international conference radioelektronika (RADIOELEKTRONIKA), 1-6, 2020 | 6 | 2020 |
| Predicting individual quality ratings of compressed images through deep cnns-based artificial observers LF Tiotsop, A Servetti, M Barkowsky, P Pocta, T Mizdos, ... Signal Processing: Image Communication 112, 116917, 2023 | 4 | 2023 |
| How to reuse existing annotated image quality datasets to enlarge available training data with new distortion types T Mizdos, M Barkowsky, M Uhrina, P Pocta Multimedia Tools and Applications 80 (18), 28137-28159, 2021 | 4 | 2021 |
| Subjective and objective evaluation of spatial and temporal information of video content T Mizdos, M Uhrina, P Pocta, J Bienik 2018 ELEKTRO, 1-6, 2018 | 3 | 2018 |
| Chroma subsampling influence on the perceived video quality for compressed sequences in high resolutions M Uhrina, J Bienik, T Mizdos Advances in Electrical and Electronic Engineering 15 (4), 692-700, 2017 | 3 | 2017 |
| Predicting single observer’s votes from objective measures using neural networks LF Tiotsop, T Mizdos, M Uhrina, P Pocta, M Barkowsky, E Masala Electronic Imaging 32, 1-8, 2020 | 2 | 2020 |
| Linking bitstream information to QoE: A study on still images using HEVC intra coding T Mizdos, M Barkowsky, M Uhrina, P Pocta Advances in Electrical and Electronic Engineering 17 (4), 436-445, 2019 | 2 | 2019 |
| 30 Years of Video Coding Evolution-What Can We Learn from it in Terms of QoE? T Mizdos, M Barkowsky, P Pocta, M Uhrina Advances in Electrical and Electronic Engineering 20 (3), 324, 2022 | | 2022 |
| How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets? LF Tiotsop, T Mizdos, E Masala, M Barkowsky, P Pocta 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP …, 2021 | | 2021 |
| The objective comparison of recent video compression formats for visual weather prediction J Bienik, M Uhrina, T Mizdos, A Holesova, L Sevcik 2019 17th International Conference on Emerging eLearning Technologies and …, 2019 | | 2019 |
| Linking Bitstream Information to QoE: A Study on Still Images Using HEVC Intra Coding T Miždoš, M Barkowsky, M Uhrina, P Počta Vysoká škola báňská-Technická univerzita Ostrava, 2019 | | 2019 |
Miroslav UhrinaUniversity of ŽilinaVerified email at uniza.sk
