Comparison of Remote Subjective Assessment Strategies in the Context of the JPEG Pleno Point Cloud Activity
Author:
Affiliation:
1. University of Technology Sydney,Faculty of Engineering and IT,Sydney,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9733399/9733432/09733709.pdf?arnumber=9733709
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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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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