Enrico Masala

Enrico Masala

Politecnico di Torino

H-index: 18

Europe-Italy

About Enrico Masala

Enrico Masala, With an exceptional h-index of 18 and a recent h-index of 9 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of multimedia communications.

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

Modeling Subject Scoring Behaviors in Subjective Experiments Based on a Discrete Quality Scale

Predicting individual quality ratings of compressed images through deep cnns-based artificial observers

A Scoring Model Considering the Variability of Subjects' Characteristics in Subjective Experiments

Regularized maximum likelihood estimation of the subjective quality from noisy individual ratings

Mimicking individual media quality perception with neural network based artificial observers

How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets?

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

Performance Optimization of Hyperspectral Image Compression Algorithms

Enrico Masala Information

University

Position

Associate Professor Computer Engineering

Citations(all)

1063

Citations(since 2020)

285

Cited By

880

hIndex(all)

18

hIndex(since 2020)

9

i10Index(all)

31

i10Index(since 2020)

9

Email

University Profile Page

Politecnico di Torino

Google Scholar

View Google Scholar Profile

Enrico Masala Skills & Research Interests

multimedia communications

Top articles of Enrico Masala

Title

Journal

Author(s)

Publication Date

Modeling Subject Scoring Behaviors in Subjective Experiments Based on a Discrete Quality Scale

IEEE Transactions on Multimedia

Lohic Fotio Tiotsop

Antonio Servetti

Marcus Barkowsky

Enrico Masala

2024/3/27

Predicting individual quality ratings of compressed images through deep cnns-based artificial observers

Signal Processing: Image Communication

Lohic Fotio Tiotsop

Antonio Servetti

Marcus Barkowsky

Peter Pocta

Tomas Mizdos

...

2023/3/1

A Scoring Model Considering the Variability of Subjects' Characteristics in Subjective Experiments

Lohic Fotio Tiotsop

Antonio Servetti

Enrico Masala

2023/6/20

Regularized maximum likelihood estimation of the subjective quality from noisy individual ratings

Lohic Fotio Tiotsop

Antonio Servetti

Marcus Barkowsky

Enrico Masala

2022/9/5

Mimicking individual media quality perception with neural network based artificial observers

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

Lohic Fotio Tiotsop

Tomas Mizdos

Marcus Barkowsky

Peter Pocta

Antonio Servetti

...

2022/1/27

How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets?

Lohic Fotio Tiotsop

Tomas Mizdos

Enrico Masala

Marcus Barkowsky

Peter Pocta

2021/10/6

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

Performance Optimization of Hyperspectral Image Compression Algorithms

Sarah Chamas

2021/12/17

On the link between subjective score prediction and disagreement of video quality metrics

IEEE Access

Lohic Fotio Tiotsop

Florence Agboma

Glenn Van Wallendael

Ahmed Aldahdooh

Sebastian Bosse

...

2021/11/10

Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset

Electronic Imaging

Lohic Fotio Tiotsop

Antonio Servetti

Enrico Masala

2020/1/26

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

Lohic FOTIO TIOTSOP

Mizdos Tomas

Uhrina Miroslav

Pocta Peter

Barkowsky Marcus

...

2020

Full reference video quality measures improvement using neural networks

Lohic Fotio Tiotsop

Antonio Servetti

Enrico Masala

2020/5/4

Cloud gaming with foveated video encoding

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)

Gazi Karam Illahi

Thomas Van Gemert

Matti Siekkinen

Enrico Masala

Antti Oulasvirta

...

2020/2/17

An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision

Computers & Operations Research

Lohic Fotio Tiotsop

Antonio Servetti

Enrico Masala

2020/2/1

See List of Professors in Enrico Masala University(Politecnico di Torino)

Co-Authors

H-index: 54
Kazuya Takeda

Kazuya Takeda

Nagoya University

H-index: 28
Nobuo Kawaguchi

Nobuo Kawaguchi

Nagoya University

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