Miroslav Uhrina

Miroslav Uhrina

Žilinská univerzita v Žiline

H-index: 8

Europe-Slovakia

About Miroslav Uhrina

Miroslav Uhrina, With an exceptional h-index of 8 and a recent h-index of 5 (since 2020), a distinguished researcher at Žilinská univerzita v Žiline, specializes in the field of Video Quality, Quality of Experience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Performance Comparison of VVC, AV1, HEVC, and AVC for High Resolutions

UHD Database Focus on Smart Cities and Smart Transport

Impact of packet loss rate on quality of compressed high resolution videos

30 Years of Video Coding Evolution-What Can We Learn from it in Terms of QoE?

Convolutional Neural Network for Visual Artifacts Classification

Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach

How to reuse existing annotated image quality datasets to enlarge available training data with new distortion types

Impact of scene content on high resolution video quality

Miroslav Uhrina Information

University

Position

___

Citations(all)

235

Citations(since 2020)

135

Cited By

154

hIndex(all)

8

hIndex(since 2020)

5

i10Index(all)

6

i10Index(since 2020)

3

Email

University Profile Page

Žilinská univerzita v Žiline

Google Scholar

View Google Scholar Profile

Miroslav Uhrina Skills & Research Interests

Video Quality

Quality of Experience

Top articles of Miroslav Uhrina

Title

Journal

Author(s)

Publication Date

Performance Comparison of VVC, AV1, HEVC, and AVC for High Resolutions

Electronics

Miroslav Uhrina

Lukas Sevcik

Juraj Bienik

Lenka Smatanova

2024/3/1

UHD Database Focus on Smart Cities and Smart Transport

Electronics

Lukas Sevcik

Miroslav Uhrina

Jaroslav Frnda

2024/2/27

Impact of packet loss rate on quality of compressed high resolution videos

Sensors

Juraj Bienik

Miroslav Uhrina

Lukas Sevcik

Anna Holesova

2023/3/2

30 Years of Video Coding Evolution-What Can We Learn from it in Terms of QoE?

Advances in Electrical and Electronic Engineering

Tomas Mizdos

Marcus Barkowsky

Peter Pocta

Miroslav Uhrina

2022/9/1

Convolutional Neural Network for Visual Artifacts Classification

Anna Holesova

Peter Sykora

Patrik Kamencay

Miroslav Uhrina

2022/5/23

Modeling and estimating the subjects’ diversity of opinions in video quality assessment: a neural network based approach

Multimedia Tools and Applications

Lohic Fotio Tiotsop

Tomas Mizdos

Miroslav Uhrina

Marcus Barkowsky

Peter Pocta

...

2021/1

How to reuse existing annotated image quality datasets to enlarge available training data with new distortion types

Multimedia Tools and Applications

Tomas Mizdos

Marcus Barkowsky

Miroslav Uhrina

Peter Pocta

2021/7

Impact of scene content on high resolution video quality

Sensors

Miroslav Uhrina

Anna Holesova

Juraj Bienik

Lukas Sevcik

2021/4/19

Development of web-based crowdsourcing framework used for video quality assessment

M Uhrina

A Holesova

2020/11/12

QoE on H. 264 and H. 265: crowdsourcing versus laboratory testing

Miroslav Uhrina

Juraj Bienik

Tomas Mizdos

2020/4/15

Predicting single observer’s votes from objective measures using neural networks

Lohic FOTIO TIOTSOP

Mizdos Tomas

Uhrina Miroslav

Pocta Peter

Barkowsky Marcus

...

2020

Optimal mapping function for predictions of the subjective quality evaluation using artificial intelligence

Lukas Sevcik

Miroslav Uhrina

Juraj Bienik

Miroslav Voznak

2020

See List of Professors in Miroslav Uhrina University(Žilinská univerzita v Žiline)