Cargando…

Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses

This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds. The study involved compressing a set of test dynamic point clouds using the MPEG V-PCC (Video-ba...

Descripción completa

Detalles Bibliográficos
Autores principales: Dumic, Emil, da Silva Cruz, Luis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305489/
https://www.ncbi.nlm.nih.gov/pubmed/37420788
http://dx.doi.org/10.3390/s23125623
_version_ 1785065746026463232
author Dumic, Emil
da Silva Cruz, Luis A.
author_facet Dumic, Emil
da Silva Cruz, Luis A.
author_sort Dumic, Emil
collection PubMed
description This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds. The study involved compressing a set of test dynamic point clouds using the MPEG V-PCC (Video-based Point Cloud Compression) codec at 5 different levels of compression and applying simulated packet losses with three packet loss rates (0.5%, 1% and 2%) to the V-PCC sub-bitstreams prior to decoding and reconstructing the dynamic point clouds. The recovered dynamic point clouds qualities were then assessed by human observers in experiments conducted at two research laboratories in Croatia and Portugal, to collect MOS (Mean Opinion Score) values. These scores were subject to a set of statistical analyses to measure the degree of correlation of the data from the two laboratories, as well as the degree of correlation between the MOS values and a selection of objective quality measures, while taking into account compression level and packet loss rates. The subjective quality measures considered, all of the full-reference type, included point cloud specific measures, as well as others adapted from image and video quality measures. In the case of image-based quality measures, FSIM (Feature Similarity index), MSE (Mean Squared Error), and SSIM (Structural Similarity index) yielded the highest correlation with subjective scores in both laboratories, while PCQM (Point Cloud Quality Metric) showed the highest correlation among all point cloud-specific objective measures. The study showed that even 0.5% packet loss rates reduce the decoded point clouds subjective quality by more than 1 to 1.5 MOS scale units, pointing out the need to adequately protect the bitstreams against losses. The results also showed that the degradations in V-PCC occupancy and geometry sub-bitstreams have significantly higher (negative) impact on decoded point cloud subjective quality than degradations of the attribute sub-bitstream.
format Online
Article
Text
id pubmed-10305489
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103054892023-06-29 Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses Dumic, Emil da Silva Cruz, Luis A. Sensors (Basel) Article This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds. The study involved compressing a set of test dynamic point clouds using the MPEG V-PCC (Video-based Point Cloud Compression) codec at 5 different levels of compression and applying simulated packet losses with three packet loss rates (0.5%, 1% and 2%) to the V-PCC sub-bitstreams prior to decoding and reconstructing the dynamic point clouds. The recovered dynamic point clouds qualities were then assessed by human observers in experiments conducted at two research laboratories in Croatia and Portugal, to collect MOS (Mean Opinion Score) values. These scores were subject to a set of statistical analyses to measure the degree of correlation of the data from the two laboratories, as well as the degree of correlation between the MOS values and a selection of objective quality measures, while taking into account compression level and packet loss rates. The subjective quality measures considered, all of the full-reference type, included point cloud specific measures, as well as others adapted from image and video quality measures. In the case of image-based quality measures, FSIM (Feature Similarity index), MSE (Mean Squared Error), and SSIM (Structural Similarity index) yielded the highest correlation with subjective scores in both laboratories, while PCQM (Point Cloud Quality Metric) showed the highest correlation among all point cloud-specific objective measures. The study showed that even 0.5% packet loss rates reduce the decoded point clouds subjective quality by more than 1 to 1.5 MOS scale units, pointing out the need to adequately protect the bitstreams against losses. The results also showed that the degradations in V-PCC occupancy and geometry sub-bitstreams have significantly higher (negative) impact on decoded point cloud subjective quality than degradations of the attribute sub-bitstream. MDPI 2023-06-15 /pmc/articles/PMC10305489/ /pubmed/37420788 http://dx.doi.org/10.3390/s23125623 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dumic, Emil
da Silva Cruz, Luis A.
Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
title Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
title_full Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
title_fullStr Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
title_full_unstemmed Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
title_short Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
title_sort subjective quality assessment of v-pcc-compressed dynamic point clouds degraded by packet losses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10305489/
https://www.ncbi.nlm.nih.gov/pubmed/37420788
http://dx.doi.org/10.3390/s23125623
work_keys_str_mv AT dumicemil subjectivequalityassessmentofvpcccompresseddynamicpointcloudsdegradedbypacketlosses
AT dasilvacruzluisa subjectivequalityassessmentofvpcccompresseddynamicpointcloudsdegradedbypacketlosses