Pregled bibliografske jedinice broj: 941025
Point cloud subjective evaluation methodology based on 2D rendering
Point cloud subjective evaluation methodology based on 2D rendering // Proceedings of 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)
Cagliari, Italija, 2018. str. 1-6 doi:10.1109/QoMEX.2018.8463406 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 941025 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Point cloud subjective evaluation methodology based on 2D rendering
Autori
Alexiou, Evangelos ; Bernardo, Marco V. ; da Silva Cruz, Luis A. ; Gotal Dmitrović, Lovorka ; Duarte, Carlos ; Dumić, Emil ; Ebrahimi, Touradj ; Matković, Dragan ; Pereira, Manuela ; Pinheiro, Antonio ; Skodras, Athanasios
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX)
/ - , 2018, 1-6
Skup
10th International Conference on Quality of Multimedia Experience (QoMEX)
Mjesto i datum
Cagliari, Italija, 29.05.2018. - 01.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Quality Assessment, Point Cloud, Quality Metrics
Sažetak
Point clouds are one of the most promising technologies for 3D content representation. In this paper, we describe a study on quality assessment of point clouds, degraded by octree based compression on different levels. The test contents were displayed using Screened Poisson surface reconstruction, without including any textural information, and they were rated by subjects in a passive way, using a 2D image sequence. Subjective evaluations were performed in five independent laboratories in different countries, with the inter-laboratory correlation analysis showing no statistical differences, despite the different equipment employed. Benchmarking results reveal that the state-of-the-art point cloud objective metrics are not able to accurately predict the expected visual quality of such test contents. Moreover, the subjective scores collected from this experiment were found to be poorly correlated with subjective scores obtained from another test involving visualization of raw point clouds. These results suggest the need for further investigations on adequate point cloud representations and objective quality assessment tools.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
EK-H2020-688619
PTDC/EEI-PRO/2849/ 2014 - POCI-01-0145-FEDER- 016693
FCT UID/EEA/50008/2013
Ustanove:
Sveučilište Sjever, Koprivnica