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  4. Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs
 
conference paper

Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs

Perry, Stuart
•
Cong, Huy Phi
•
da Silva Cruz, Luis A.
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2020
2020 IEEE International Conference on Image Processing (ICIP)
2020 IEEE International Conference on Image Processing (ICIP)

This paper presents a quality evaluation study of point cloud codecs that have been recently standardised by the MPEG committee. In particular, a subjective experiment to assess their performance in terms of bitrate against visual quality is designed and realized in four independent laboratories. The experimental setup of each laboratory varies; yet, the obtained subjective scores exhibit high inter laboratory correlation, confirming that the adopted assessment protocol is robust to equipment selection and viewing conditions, ensuring reliability and facilitating repeatability. Our study confirms the superior compression performance of the MPEG V-PCC, when compared to MPEG G-PCC, in the case of static contents. Finally, results from a benchmark of the most popular objective quality metrics using the obtained subjective scores as ground truth, reveal that the point2plane with mean square error is the most accurate quality predictor, closely followed by the point2point also using mean square error as distance measure.

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Type
conference paper
DOI
10.1109/ICIP40778.2020.9191308
Author(s)
Perry, Stuart
Cong, Huy Phi
da Silva Cruz, Luis A.
Prazeres, Joao
Pereira, Manuela
Pinheiro, Antonio
Dumic, Emil
Alexiou, Evangelos  
Ebrahimi, Touradj  
Date Issued

2020

Publisher

IEEE

Published in
2020 IEEE International Conference on Image Processing (ICIP)
Total of pages

6

Start page

3428

End page

3432

Subjects

Point Cloud

•

Subjective Quality Evaluation

•

Benchmarking

•

Coding

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
GR-EB  
Event nameEvent placeEvent date
2020 IEEE International Conference on Image Processing (ICIP)

Abu Dhabi, United Arab Emirates

Octobre 25-28, 2020

Available on Infoscience
November 23, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/173447
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