Foveated Spatial Compression for Remote Rendered Virtual Reality

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKämäräinen, Teemuen_US
dc.contributor.authorSiekkinen, Mattien_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.groupauthorProfessorship Di Francesco Marioen
dc.contributor.groupauthorHelsinki Institute for Information Technology (HIIT)en
dc.date.accessioned2023-08-30T04:19:28Z
dc.date.available2023-08-30T04:19:28Z
dc.date.issued2023-06-18en_US
dc.descriptionFunding Information: This work has been supported by the Academy of Finland (grant number 332306). Publisher Copyright: © 2023 Owner/Author(s).
dc.description.abstractIn remote rendered virtual reality (VR), the rendering of the application is moved to the cloud enabling high quality real-time content to be consumed on low-powered standalone head mounted displays (HMDs). The rendered frames are encoded to a video stream and streamed to a thin client which relays user's input to the server and decodes and displays the incoming video. Latency and high bandwidth requirements are key challenges for remote rendered graphics. Foveation can be used to optimize the quality of the transmitted frames to be in line with the human visual system (HVS). In this paper we evaluate multiple different strategies on how to apply foveation to spatially compress video frames, i.e., reduce their resolution, before transmission. We also show how the foveation methods can be used together with super resolution to alleviate the bandwidth usage of real-time remote rendered VR and optimize the perceived image quality.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKämäräinen, T & Siekkinen, M 2023, Foveated Spatial Compression for Remote Rendered Virtual Reality. in MetaSys 2023 - Proceedings of the 1st Workshop on Metaverse Systems and Applications, Part of MobiSys 2023. ACM, pp. 7-13, Workshop on Metaverse Systems and Applications, Helsinki, Finland, 18/06/2023. https://doi.org/10.1145/3597063.3597359en
dc.identifier.doi10.1145/3597063.3597359en_US
dc.identifier.isbn979-8-4007-0213-6
dc.identifier.otherPURE UUID: 0c9cacca-9aa9-4515-ae31-230ba977f2f3en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/0c9cacca-9aa9-4515-ae31-230ba977f2f3en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/119333353/SCI_K_m_r_inen_etal_MetaSys_2023.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/122953
dc.identifier.urnURN:NBN:fi:aalto-202308305293
dc.language.isoenen
dc.relation.fundinginfoThis work has been supported by the Academy of Finland (grant number 332306).
dc.relation.ispartofWorkshop on Metaverse Systems and Applicationsen
dc.relation.ispartofseriesMetaSys 2023 - Proceedings of the 1st Workshop on Metaverse Systems and Applications, Part of MobiSys 2023en
dc.relation.ispartofseriespp. 7-13en
dc.rightsopenAccessen
dc.subject.keywordfoveationen_US
dc.subject.keywordsuper resolutionen_US
dc.subject.keywordvirtual realityen_US
dc.titleFoveated Spatial Compression for Remote Rendered Virtual Realityen
dc.typeA4 Artikkeli konferenssijulkaisussafi
dc.type.versionpublishedVersion

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