Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/1677
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dc.contributor.authorChiu, Dah Mingen_US
dc.contributor.otherMa, H.-
dc.contributor.otherJiang, X.-
dc.contributor.otherMa, R.-
dc.contributor.otherMa, Z.-
dc.contributor.otherCai, Y.-
dc.date.accessioned2021-11-11T03:26:01Z-
dc.date.available2021-11-11T03:26:01Z-
dc.date.issued2018-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/1677-
dc.description.abstractThe streaming of panoramic videos comes with a new challenge: adapting the streamed content to user attention. In this paper, by making some abstraction we study the key issues of the problem: (1) online content switching strategies, and (2) offline segmentation in preparation for adaptive streaming. Our work demonstrates how the problem depends fundamentally on user behavior, represented by user attention trajectories. Although we only relied on a typical real-world measured trajectory and two artificially generated benchmark trajectories, we point out how more knowledge of user attention can help optimize both the online and offline strategies.en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.titleSmart streaming of panoramic videosen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Networken_US
dc.identifier.doi10.1145/3229625.3229628-
dc.contributor.affiliationFelizberta Lo Padilla Tong School of Social Sciencesen_US
dc.relation.isbn9781450359139en_US
dc.description.startpage13en_US
dc.description.endpage19en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypeconference proceedings-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
crisitem.author.deptFelizberta Lo Padilla Tong School of Social Sciences-
crisitem.author.orcid0000-0003-0566-5223-
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