Stammdaten

Titel: Impact of Quality and Distance on the Perception of Point Clouds in Mixed Reality
Untertitel:
Kurzfassung:

Point Cloud (PC) streaming has recently attracted research attention as it has the potential to provide six degrees of freedom (6DoF), which is essential for truly immersive media. PCs require high-bandwidth connections, and adaptive streaming is a promising solution to cope with fluctuating bandwidth conditions. Thus, understanding the impact of different factors in adaptive streaming on the Quality of Experience (QoE) becomes fundamental. Mixed Reality (MR) is a novel technology and has recently become popular. However, quality evaluations of PCs in MR environments are still limited to static images. In this paper, we perform a subjective study on four impact factors on the QoE of PC video sequences in MR conditions, including quality switches, viewing distance, and content characteristics. The experimental results show that these factors significantly impact QoE. The QoE decreases if the sequence switches to lower quality and/or is viewed at a shorter distance, and vice versa. Additionally, the end user might not distinguish the quality differences between two quality levels at a specific viewing distance. Regarding content characteristics, objects with lower contrast seem to provide better quality scores.

Schlagworte: Point Clouds, Quality of Experience, Subjective Tests, Mixed Reality
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 20.06.2023 (Print)
Erschienen in: QoMEX 2023 Proceedings of the 15th International Conference on Quality of Multimedia Experience
QoMEX 2023 Proceedings of the 15th International Conference on Quality of Multimedia Experience
zur Publikation
 ( IEEE Xplore Digital Library; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 87 - 90

Versionen

Keine Version vorhanden
Erscheinungsdatum: 20.06.2023
ISBN:
  • 979-8-3503-1173-0
ISSN: 2472-7814
Homepage: https://ieeexplore.ieee.org/document/10178491
Erscheinungsdatum: 18.07.2023
ISBN (e-book): -
eISSN: 2472-7814
DOI: http://dx.doi.org/10.1109/qomex58391.2023.10178491
Homepage: https://ieeexplore.ieee.org/document/10178491
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Systeme

Kooperationen

Organisation Adresse
Ghent University, imec
Ghent
Belgien
BE  Ghent

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden