Can Video as a Service Paradigm Lead to the Future Internet of Video Things?

Wu, J; Wang, W; Zou, S; Ni, W; Huang, L; Tang, Y

Can Video as a Service Paradigm Lead to the Future Internet of Video Things?

Wu, J Wang, W Zou, S Ni, W

Huang, L Tang, Y

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Publisher:: IEEE COMPUTER SOC
Publication Type:: Journal Article
Citation:: Computer, 2023, 56, (11), pp. 73-84
Issue Date:: 2023-11-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Wu, J
dc.contributor.author	Wang, W
dc.contributor.author	Zou, S
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	Huang, L
dc.contributor.author	Tang, Y
dc.date.accessioned	2024-04-07T20:13:50Z
dc.date.available	2024-04-07T20:13:50Z
dc.date.issued	2023-11-01
dc.identifier.citation	Computer, 2023, 56, (11), pp. 73-84
dc.identifier.issn	0018-9162
dc.identifier.issn	1558-0814
dc.identifier.uri	http://hdl.handle.net/10453/177531
dc.description.abstract	This paper proposes a novel service-oriented integration paradigm for Internet of Video Things (referred to as Video as a Service), which orchestrates network slicing and utilizes multi-agent deep reinforcement learning to customize and maximize video content and infrastructure potential.
dc.language	English
dc.publisher	IEEE COMPUTER SOC
dc.relation.ispartof	Computer
dc.relation.isbasedon	10.1109/MC.2023.3261462
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences
dc.subject.classification	Software Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Can Video as a Service Paradigm Lead to the Future Internet of Video Things?
dc.type	Journal Article
utslib.citation.volume	56
utslib.for	08 Information and Computing Sciences
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-07T20:13:48Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	56
utslib.citation.issue	11

Abstract:

This paper proposes a novel service-oriented integration paradigm for Internet of Video Things (referred to as Video as a Service), which orchestrates network slicing and utilizes multi-agent deep reinforcement learning to customize and maximize video content and infrastructure potential.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/177531