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A benchmarking platform for wireless virtual reality video compression and transmission

Danhier, Martin
(2023)

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Danhier_53612100_2023.pdf
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Details

Supervisors
Macq, Benoît
Faculty
Ecole polytechnique de Louvain
Degree label
Master [120] en sciences informatiques, à finalité spécialisée
Abstract
Through the reconciliation of mobility and graphics quality, wireless virtual reality has become a promising technology used in a multitude of applications, ranging from casual gaming and social applications to job training and architectural planning. However, the limitations of wireless networks introduce a diverse set of challenges, particularly the latency caused by the additional processing involved. To overcome these challenges, it is important to have a clear overview of the wireless virtual reality system as well as an in-depth understanding of the end-to-end video transmission pipeline. In this master thesis, a plug-and-play open-source wireless virtual reality benchmarking platform is developed, with the objective to be able to perform fine-grained measurements directly within a complete pipeline. This platform can be used to detect critical bottlenecks and anomalies within the system, and evaluate the performance of optimization techniques. In addition, the platform facilitates the choice of optimal parameters for a specific application depending on hardware configuration. The source code of this work is publicly available and should be seen as a first step to encourage the use of open-source benchmarking tools within the virtual reality community.