Comparison of Remote Subjective Assessment Strategies in the Context of the JPEG Pleno Point Cloud Activity

Author:

Perry Stuart1,Da Silva Cruz Luis A.1,Dumic Emil1,Thi Nguyen Nhung Hong1,Pinheiro Antonio1,Alexiou Evangelos1

Affiliation:

1. University of Technology Sydney,Faculty of Engineering and IT,Sydney,Australia

Publisher

IEEE

Reference18 articles.

1. PointXR: A Toolbox for Visualization and Subjective Evaluation of Point Clouds in Virtual Reality

2. G-PCC Codec Description v5;Doc N18891,2019

3. Emerging MPEG Standards for Point Cloud Compression

4. A comprehensive study of the rate-distortion performance in MPEG point cloud compression;alexiou;APSIPA Transactions on Signal and Information Processing,2019

5. V-PCC Codec Description;Doc N18884,2019

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1. Quality evaluation of point cloud compression techniques;Signal Processing: Image Communication;2024-10

2. Subjective Quality Evaluation of Point Clouds using Remote Testing;Proceedings of the 2nd International Workshop on Interactive eXtended Reality;2023-10-29

3. JPEG Pleno Learning-Based Point Cloud Coding: A Performance Analysis;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

4. Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses;Sensors;2023-06-15

5. JPEG Pleno Call for Proposals Responses Quality Assessment;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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