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Immersivemote: Combining foveated AI and streaming for immersive remote operations
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS.
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS.ORCID iD: 0000-0002-9554-0071
2019 (English)In: ACM SIGGRAPH 2019 Talks, SIGGRAPH 2019, Association for Computing Machinery (ACM), 2019, article id 3329895Conference paper, Published paper (Refereed)
Abstract [en]

Immersivemote is a novel technology combining our former foveated streaming solution with our novel foveated AI concept. While we have previously shown that foveated streaming can achieve 90% bandwidth savings, as compared to existing streaming solutions, foveated AI is designed to enable real-time video augmentations that are controlled through eye-gaze. The combined solution is therefore capable of effectively interfacing remote operators with mission critical information obtained, in real time, from task-aware machine understanding of the scene and IoT data.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2019. article id 3329895
Keywords [en]
Eye-tracking, Foveated streaming, Remote operations
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-258137DOI: 10.1145/3306307.3329895Scopus ID: 2-s2.0-85071335635ISBN: 9781450363174 (print)OAI: oai:DiVA.org:kth-258137DiVA, id: diva2:1356871
Conference
ACM SIGGRAPH 2019 Talks - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019; Los Angeles; United States; 28 July 2019 through 1 August 2019
Note

QC 20191002

Available from: 2019-10-02 Created: 2019-10-02 Last updated: 2019-10-02Bibliographically approved

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Lungaro, PietroTollmar, Konrad

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