A platform for subjective quality assessment in mixed reality environments

Autor: Vats, Shivi, Nguyen, Minh, Van Damme, Sam, van der Hooft, Jeroen, Torres Vega, Maria, Wauters, Tim, Timmerer, Christian, Hellwagner, Hermann
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: 2023 15th International Conference on Quality of Multimedia Experience (QoMEX)
ISSN: 2472-7814
Popis: 3D objects are important components in Mixed Reality (MR) environments as they allow users to inspect and interact with them in a six degrees of freedom (6DoF) system. Point clouds (PCs) and meshes are two common 3D object representations that can be compressed to reduce the delivered data at the cost of quality degradation. In addition, as the end users can move around in 6DoF applications, the viewing distance can vary. Quality assessment is necessary to evaluate the impact of the compressed representation and viewing distance on the Quality of Experience (QoE) of end users. This paper presents a demonstrator for subjective quality assessment of dynamic PC and mesh objects under different conditions in MR environments. Our platform allows conducting subjective tests to evaluate various QoE influence factors, including encoding parameters, quality switching, viewing distance, and content characteristics, with configurable settings for these factors.
Databáze: OpenAIRE