Artificial Intelligence Based Adaptive GOP Size Selection for Effective Wyner-Ziv Video Coding

Thi Huong, TN Phi Cong, H Huu, TV Hoang Van, X

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2018 International Conference on Advanced Technologies for Communications (ATC), 2018, 00, pp. 120-124
Issue Date:: 2018-10

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Full metadata record

Field	Value	Language
dc.contributor.author	Thi Huong, TN
dc.contributor.author	Phi Cong, H
dc.contributor.author	Huu, TV
dc.contributor.author	Hoang Van, X
dc.date	2018-10-18
dc.date.accessioned	2021-04-26T02:58:59Z
dc.date.available	2021-04-26T02:58:59Z
dc.date.issued	2018-10
dc.identifier.citation	2018 International Conference on Advanced Technologies for Communications (ATC), 2018, 00, pp. 120-124
dc.identifier.uri	http://hdl.handle.net/10453/148362
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2018 International Conference on Advanced Technologies for Communications (ATC)
dc.relation.ispartof	2018 International Conference on Advanced Technologies for Communications (ATC)
dc.relation.isbasedon	10.1109/atc.2018.8587573
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Artificial Intelligence Based Adaptive GOP Size Selection for Effective Wyner-Ziv Video Coding
dc.type	Conference Proceeding
utslib.citation.volume	00
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	2021-04-26T02:58:50Z
pubs.finish-date	2018-10-20
pubs.publication-status	Published
pubs.start-date	2018-10-18
pubs.volume	00

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