Publikation: Impact of Quality and Distance on the P...
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
(
IEEE Xplore Digital Library;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 87 - 90 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 20.06.2023 |
ISBN: |
|
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 |
|
AutorInnen
Minh Nguyen (intern) |
Shivi Vats (intern) |
Sam Van Damme (extern) |
Jeroen van der Hooft (extern) |
Maria Torres Vega (extern) |
Tim Wauters (extern) |
Christian Timmerer (intern) |
Hermann Hellwagner (intern) |
Zuordnung
Organisation | Adresse | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
|
AT - 9020 Klagenfurt am Wörthersee |
Kategorisierung
Sachgebiete | |
Forschungscluster | Kein Forschungscluster ausgewählt |
Peer Reviewed |
|
Publikationsfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
|
Arbeitsgruppen |
|
Forschungsaktivitäten
(Achtung: Externe Aktivitäten werden im Suchergebnis nicht mitangezeigt)
Projekte: |
|
Publikationen: | Keine verknüpften Publikationen vorhanden |
Veranstaltungen: |
|
Vorträge: |
|