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Gaze- and QoE-aware video streaming solutions for mobile VR
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Mobile Service Laboratory (MS Lab).
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Mobile Service Laboratory (MS Lab).ORCID iD: 0000-0002-9554-0071
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Mobile Service Laboratory (MS Lab).
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Mobile Service Laboratory (MS Lab).
2017 (English)In: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST, Association for Computing Machinery , 2017Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

This demo showcases a novel approach to content delivery for 360? video streaming. It exploits information from connected eye-trackers embedded in the users' VR HMDs. The presented technology enables the delivery of high quality, in real time, around the users' fixations points while lowering the image quality everywhere else. The goal of the proposed approach is to substantially reduce the overall bandwidth requirements for supporting VR video experiences while delivering high levels of user perceived quality. The network connection between the VR system and the content server is in this demo emulated, allowing users to experience the QoE performances achievable with datarates and RTTs in the range of current 4G and upcoming 5G networks. Users can further control additional service parameters, including video types, content resolution in the foveal region and background and size of the foveal region. At the end of each run, users are presented with a summary of the amount of bandwidth consumed with the used system settings and a comparison with the cost of current content delivery solutions. The overall goal of this demo is to provide a tangible experience of the tradeoffs among bandwidth, RTT and QoE for the mobile provision of future data intensive VR services.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2017.
Keyword [en]
Eye-tracking, Foveated content delivery, QoE, Video streaming, VR, Bandwidth, Communication channels (information theory), Eye movements, Virtual reality, Bandwidth requirement, Content delivery, Content servers, Data intensive, Network connection, Perceived quality, Service parameters
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-227053DOI: 10.1145/3139131.3141782Scopus ID: 2-s2.0-85038603036ISBN: 9781450355483 OAI: oai:DiVA.org:kth-227053DiVA, id: diva2:1203554
Conference
23rd ACM Conference on Virtual Reality Software and Technology, VRST 2017, 8 November 2017 through 10 November 2017
Note

QC 20180503

Available from: 2018-05-03 Created: 2018-05-03 Last updated: 2018-05-03Bibliographically approved

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Lungaro, PietroTollmar, Konrad

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