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dc.contributor.authorYan, W-Qen_NZ
dc.contributor.authorYu, J; Shu, Y; Zhou, L
dc.date.accessioned2019-02-28T03:33:22Z
dc.date.available2019-02-28T03:33:22Z
dc.date.copyright2018-09-01en_NZ
dc.identifier.citationInternational Journal of Digital Crime and Forensics (IJDCF), 10(1), 79-91.
dc.identifier.issn1941-6210en_NZ
dc.identifier.issn1941-6229en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/12296
dc.description.abstractA large amount of surveillance videos and images need sufficient storage. In this article, an architecture of cloud-based surveillance systems and its modules will be designed, the Cloud-based Visual Surveillance System (CVSS) will be implemented on a private cloud using a Virtual Machine (VM). The users are able to link their cameras to the CVSS system so that the goal of this design can be achieved. The authors' CVSS system is able to push notification messages of captured videos to receivers, and their users could receive a surveillance video along with its events. The CVSS system fully makes use of the merits of cloud computing, which make it more advanced as stated in the evaluation section of this article. The contributions of this article are to be implemented in the CVSS system with: (1) video stream input, (2) intelligent visual surveillance, (3) real-time video transcoding and storage, (4) message pushing and media streaming output.
dc.publisherIGI Globalen_NZ
dc.relation.urihttps://www.igi-global.com/journal/international-journal-digital-crime-forensics/1112en_NZ
dc.rightsIGI GLOBAL AUTHORS, UNDER FAIR USE CAN: Post the final typeset PDF (which includes the title page, table of contents and other front materials, and the copyright statement) of their chapter or article (NOT THE ENTIRE BOOK OR JOURNAL ISSUE), on the author or editor's secure personal website and/or their university repository site.
dc.titleCVSS: A Cloud Based Visual Surveillance Systemen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.4018/IJDCFen_NZ
aut.relation.endpage14
aut.relation.issue3en_NZ
aut.relation.pages14
aut.relation.startpage1
aut.relation.volume10en_NZ
pubs.elements-id283547
aut.relation.journalInternational Journal of Digital Crime and Forensicsen_NZ


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