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Raimund Schatz wins Best Paper Award at the QoMEX 2020

03.06.2020
The paper presents the results of a comprehensive objective and subjective Quality of Experience (QoE) evaluation of adaptive point cloud streaming.
 

The annual international IEEE Conference for Quality of Multimedia Experience (QoMEX) is one of the top 10 conferences in the field of "multimedia" and was held this year as an online conference due to Corona. The aim of QoMEX is to bring together leading experts and scientists in the fields of multimedia quality and user experience from around the world. Thanks to the use of video conferencing and virtual 3D lecture rooms, this also worked perfectly as an online event.
This year's Best Paper Award was also announced online and went to Raimund Schatz from the Center for Technology Experience. Together with Jeroen van der Hooft (Ghent University), Maria Torres Vega (Ghent University), Christian Timmerer (Alpen-Adria-Universität Klagenfurt, Bitmovin), Ali C. Begen (Ozyegin University, Networked Media) and Filip De Turck (Ghent University) he was awarded for the paper entitled "Objective and Subjective QoE Evaluation for Adaptive Point Cloud Streaming". Their paper deals with the comparison and further development of measurement methods for reliable assessment of the quality of animated 3D point clouds in the context of adaptive multimedia streaming.

Abstract:
Volumetric media has the potential to provide the six degrees of freedom (6DoF) required by truly immersive media. However, achieving 6DoF requires ultra-high bandwidth transmissions, which real-world wide area networks cannot provide economically. Therefore, recent efforts have started to target efficient delivery of volumetric media, using a combination of compression and adaptive streaming techniques. It remains, however, unclear how the effects of such techniques on the user perceived quality can be accurately evaluated. In this paper, we present the results of an extensive objective and subjective quality of experience (QoE) evaluation of volumetric 6DoF streaming. We use PCC-DASH, a standards-compliant means for HTTP adaptive streaming of scenes comprising multiple dynamic point cloud objects. By means of a thorough analysis we investigate the perceived quality impact of the available bandwidth, rate adaptation algorithm, viewport prediction strategy and user’s motion within the scene. We determine which of these aspects has more impact on the user’s QoE, and to what extent subjective and objective assessments are aligned.

J. van der Hooft, M. Torres Vega, C. Timmerer, A. C. Begen, F. De Turck, R. Schatz: "Objective and Subjective QoE Evaluation for Adaptive Point Cloud Streaming"; Vortrag: 12th International Conference on Quality of Multimedia Experience (QoMEX 2020), Athlone, Ireland; 26.05.2020 - 28.05.2020; in: "2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX 2020)", IEEE, (2020)

AIT-Kontakt: Raimund Schatz