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Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs (CROSBI ID 694624)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Perry, Stuart ; Cong, Huy Phi ; da Silva Cruz, Luis A. ; Prazeres, Joao ; Pereira, Manuela ; Pinheiro, Antonio ; Dumic, Emil ; Alexiou, Evangelos ; Ebrahimi, Touradj Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs // 2020 IEEE International Conference on Image Processing (ICIP) / Al-Mualla, Mohammed ; Gabbouj, Moncef (ur.). Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 3428-3432 doi: 10.1109/icip40778.2020.9191308

Podaci o odgovornosti

Perry, Stuart ; Cong, Huy Phi ; da Silva Cruz, Luis A. ; Prazeres, Joao ; Pereira, Manuela ; Pinheiro, Antonio ; Dumic, Emil ; Alexiou, Evangelos ; Ebrahimi, Touradj

engleski

Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs

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.

Point Cloud, Subjective Quality Evaluation, Benchmarking, Coding

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Podaci o prilogu

3428-3432.

2020.

objavljeno

10.1109/icip40778.2020.9191308

Podaci o matičnoj publikaciji

2020 IEEE International Conference on Image Processing (ICIP)

Al-Mualla, Mohammed ; Gabbouj, Moncef

Institute of Electrical and Electronics Engineers (IEEE)

978-1-7281-6395-6

1522-4880

2381-8549

Podaci o skupu

27th IEEE International Conference on Image Processing (ICIP 2020)

predavanje

25.10.2020-28.10.2020

Abu Dhabi, Ujedinjeni Arapski Emirati

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice