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Machine Learning Based Content-Agnostic Viewport Prediction for 360-Degree Video

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dc.contributor.authorVan Damme, Sam
dc.contributor.authorTorres Vega, Maria
dc.contributor.authorDe Turck, Filip
dc.contributor.imecauthorVan Damme, Sam
dc.contributor.imecauthorTorres Vega, Maria
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.orcidimecVan Damme, Sam::0000-0001-5398-7927
dc.contributor.orcidimecTorres Vega, Maria::0000-0002-5656-6607
dc.contributor.orcidimecDe Turck, Filip::0000-0003-4824-1199
dc.date.accessioned2022-04-25T09:23:22Z
dc.date.available2022-04-15T02:09:29Z
dc.date.available2022-04-25T09:23:22Z
dc.date.embargo2022-02-16
dc.date.issued2022
dc.description.wosFundingTextThis research is part of a collaborative project between Huawei and Ghent University, funded by Huawei Technologies, China. M. T. Vega was funded by the Research Foundation Flanders (FWO), grant number 12W4819N.
dc.identifier.doi10.1145/3474833
dc.identifier.issn1551-6857
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39624
dc.publisherASSOC COMPUTING MACHINERY
dc.source.beginpageArt. 50
dc.source.issue2
dc.source.journalACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
dc.source.numberofpages24
dc.source.volume18
dc.title

Machine Learning Based Content-Agnostic Viewport Prediction for 360-Degree Video

dc.typeJournal article
dspace.entity.typePublication
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