Michela Testolina

According to our database, Michela Testolina authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression.

Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi

EURASIP J. Image Video Process., December, 2024

Assessing objective quality metrics for JPEG and MPEG point cloud coding.

Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi

Proceedings of the 16th International Conference on Quality of Multimedia Experience, 2024

2023

JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range.

Michela Testolina, Vlad Hosu, Mohsen Jenadeleh, Davi Lazzarotto, Dietmar Saupe, Touradj Ebrahimi

Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

On the Performance of Subjective Visual Quality Assessment Protocols for Nearly Visually Lossless Image Compression.

Michela Testolina, Davi Lazzarotto, Rafael Rodrigues, Shima Mohammadi, João Ascenso, António M. G. Pinheiro, Touradj Ebrahimi

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

On the Impact of Spatial Rendering on Point Cloud Subjective Visual Quality Assessment.

Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi

Proceedings of the 14th International Conference on Quality of Multimedia Experience, 2022

Influence of Spatial Rendering on the Performance of Point Cloud Objective Quality Metrics.

Davi Lazzarotto, Michela Testolina, Touradj Ebrahimi

Proceedings of the 10th European Workshop on Visual Information Processing, 2022

2021

Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding.

Evgeniy Upenik, Michela Testolina, João Ascenso, Fernando Pereira, Touradj Ebrahimi

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts.

Michela Testolina, Evgeniy Upenik, João Ascenso, Fernando Pereira, Touradj Ebrahimi

Proceedings of the 13th International Conference on Quality of Multimedia Experience, 2021