PRECEPT: Power-efficient Field-of-view prediction for VR video streaming

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dc.contributor.authorAbdelreheem, Ahmed
dc.contributor.authorRaca, Darijo
dc.contributor.authorZahran, Ahmed H.
dc.contributor.funderThe CONNECT Centre - Trinity College Dublin
dc.contributor.funderTaighde Éireann - Research Ireland
dc.date.accessioned2026-05-22T10:50:02Z
dc.date.available2026-05-22T10:50:02Z
dc.date.issued2026-06-01
dc.description.abstractField-of-view (FoV) prediction is critical for reducing device energy consumption and enhancing user quality of experience (QoE) in immersive streaming. To address the high computational and energy costs of standard DL-based FoV prediction, we propose PRECEPT, an energy-efficient, system-oriented two-stage framework. PRECEPT splits the prediction pipeline by adding a lightweight, CPU-based classifier to identify tile change. PRECEPT's classifier successfully filters approximately 80% of "no-change" events. PRECEPT activates the resource-intensive DL model only during identified tile change. This design reduces the average inference delay and energy consumption by up to 69% in a real mobile deployment. PRECEPT's two-stage design enables sustainable, high-performance FoV prediction on resource-constrained devices.en
dc.description.sponsorshipResearch Ireland CONNECT Center
dc.description.versionAccepted Version
dc.format.extent6
dc.format.mimetypeapplication/pdfen
dc.identifier.authororcidAbdelreheem, Ahmed§0000-0002-0982-7835
dc.identifier.authororcidRaca, Darijo
dc.identifier.authororcidZahran, Ahmed H. §0000-0003-3405-0324
dc.identifier.citationAbdelreheem, A, Raca, D & Zahran, A H 2026, 'PRECEPT: Power-efficient Field-of-view prediction for VR video streaming', Paper presented at The IEEE 5th International Conference on Intelligent Reality, Pisa, Italy, 25/06/26 - 26/06/26 pp. 1-6.
dc.identifier.endpage6
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/18825
dc.language.isoen
dc.rights© 2026, the Authors.
dc.rights.accessrightsopen access
dc.statusPeer reviewed
dc.subjectField-of-view (FoV) prediction
dc.subject[ComputerScience]
dc.titlePRECEPT: Power-efficient Field-of-view prediction for VR video streamingen
dc.typeConference item
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