Browsing by Author "De Turck, F."

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    From capturing to rendering: Volumetric media delivery with six degrees of freedom
    (IEEE, 2020-10) Van Der Hooft, J.; Vega, M. T.; Wauters, T.; Timmerer, C.; Beğen, Ali Cengiz; De Turck, F.; Schatz, R.; Computer Science; BEĞEN, Ali Cengiz
    Technological improvements are rapidly advancing holographic-type content distribution. Significant research efforts have been made to meet the low latency and high bandwidth requirements set forward by interactive applications such as remote surgery and virtual reality. Recent research made six degrees of freedom (6DoF) for immersive media possible, where users may both move their head and change their position within a scene. In this article, we present the status and challenges of 6DoF applications based on volumetric media, focusing on the key aspects required to deliver such services. Furthermore, we present results from a subjective study to highlight relevant directions for future research.
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    Objective and subjective QoE evaluation for adaptive point cloud streaming
    (IEEE, 2020-05) Van Der Hooft, J.; Vega, M. T.; Timmerer, C.; Beğen, Ali Cengiz; De Turck, F.; Schatz, R.; Computer Science; BEĞEN, Ali Cengiz
    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 today. 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.