Network-induced temporal disturbances in virtual reality applications
2019 (English)In: 2019 11th International Conference on Quality of Multimedia Experience, QoMEX 2019, Institute of Electrical and Electronics Engineers Inc. , 2019Conference paper, Published paper (Refereed)
Abstract [en]
Virtual Reality (VR) applications put high demands on software and hardware in order to enable an immersive experience for the user and avoid causing simulator sickness. As soon as networks become part of the Motion-To-Photon (MTP) path between rendering and display, there is a risk for extraordinary delays that may impair Quality of Experience (QoE). This short paper provides an overview of latency measurements and models that are applicable to the MTP path, complemented by demands on user and network levels. It specifically reports on freeze duration measurements using a commercial TPCAST wireless VR solution, and identifies a corresponding stochastic model of the freeze length distribution, which may serve as disturbance model for VR QoE studies. © 2019 IEEE.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019.
Series
International Workshop on Quality of Multimedia Experience (QoMEX), ISSN 2372-7179, E-ISSN 2472-7814
Keywords [en]
Application programs, Multimedia systems, Quality of service, Stochastic systems, Virtual reality, Disturbance modeling, High demand, Latency measurements, Length distributions, Network level, Quality of experience (QoE), Simulator sickness, Software and hardwares, Stochastic models
National Category
Communication Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-18605DOI: 10.1109/QoMEX.2019.8743304ISI: 000482562000056Scopus ID: 2-s2.0-85068679022ISBN: 9781538682128 (print)OAI: oai:DiVA.org:bth-18605DiVA, id: diva2:1349798
Conference
11th International Conference on Quality of Multimedia Experience, QoMEX, Berlin, 5 June 2019 through 7 June 2019
Part of project
VIATECH- Human-Centered Computing for Novel Visual and Interactive Applications, Knowledge Foundation
Funder
Knowledge Foundation, 201700562019-09-102019-09-102025-09-30Bibliographically approved