Weil, Jannis ; Alkhalili, Yassin ; Tahir, Anam ; Gruczyk, Thomas ; Meuser, Tobias ; Mu, Mu ; Koeppl, Heinz ; Mauthe, Andreas (2023)
Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study.
15th International Conference on Quality of Multimedia Experience. Ghent, Belgium (20.06. - 22.06.2023)
doi: 10.1109/QoMEX58391.2023.10178579
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
There is growing interest in point cloud content due to its central role in the creation and provision of interactive and immersive user experiences for extended reality applications. However, it is impractical to stream uncompressed point cloud sequences over communication networks to end systems because of their high throughput and low latency requirements. Several novel compression methods have been developed for efficient storage and adaptive delivery of point cloud content. However, these methods primarily focus on data metrics and neglect the influence on the actual Quality of Experience (QoE). In this paper, we conduct a user study with 102 participants to analyze the QoE of point cloud sequences and develop a QoE model that can enhance the quality of point cloud content distribution under dynamic network conditions. Our analysis is based on user opinions regarding two representative point cloud sequences, three different frame rates, three viewing distances, and two state-of-the-art point cloud compression libraries, Draco and V-PCC. The results indicate that the proposed models can accurately predict the users' quality perception, with frame rate being the most dominant QoE factor.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Weil, Jannis ; Alkhalili, Yassin ; Tahir, Anam ; Gruczyk, Thomas ; Meuser, Tobias ; Mu, Mu ; Koeppl, Heinz ; Mauthe, Andreas |
| Art des Eintrags: | Bibliographie |
| Titel: | Modeling Quality of Experience for Compressed Point Cloud Sequences based on a Subjective Study |
| Sprache: | Englisch |
| Publikationsjahr: | 18 Juli 2023 |
| Verlag: | IEEE |
| Buchtitel: | 2023 15th International Conference on Quality of Multimedia Experience (QoMEX) |
| Veranstaltungstitel: | 15th International Conference on Quality of Multimedia Experience |
| Veranstaltungsort: | Ghent, Belgium |
| Veranstaltungsdatum: | 20.06. - 22.06.2023 |
| DOI: | 10.1109/QoMEX58391.2023.10178579 |
| Kurzbeschreibung (Abstract): | There is growing interest in point cloud content due to its central role in the creation and provision of interactive and immersive user experiences for extended reality applications. However, it is impractical to stream uncompressed point cloud sequences over communication networks to end systems because of their high throughput and low latency requirements. Several novel compression methods have been developed for efficient storage and adaptive delivery of point cloud content. However, these methods primarily focus on data metrics and neglect the influence on the actual Quality of Experience (QoE). In this paper, we conduct a user study with 102 participants to analyze the QoE of point cloud sequences and develop a QoE model that can enhance the quality of point cloud content distribution under dynamic network conditions. Our analysis is based on user opinions regarding two representative point cloud sequences, three different frame rates, three viewing distances, and two state-of-the-art point cloud compression libraries, Draco and V-PCC. The results indicate that the proposed models can accurately predict the users' quality perception, with frame rate being the most dominant QoE factor. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation 18 Fachbereich Elektrotechnik und Informationstechnik > Self-Organizing Systems Lab DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > B: Adaptionsmechanismen > Teilprojekt B1: Monitoring und Analyse DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1053: MAKI – Multi-Mechanismen-Adaption für das künftige Internet > C: Kommunikationsmechanismen > Teilprojekt C3: Inhaltszentrische Sicht |
| Hinterlegungsdatum: | 21 Nov 2023 14:28 |
| Letzte Änderung: | 21 Nov 2023 14:28 |
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