Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32104
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dc.contributor.authorBhowmik, Deepayanen_UK
dc.contributor.authorAbhayaratne, Charithen_UK
dc.contributor.authorGreen, Stuarten_UK
dc.contributor.editorMandal, Jyotsna Kumaren_UK
dc.contributor.editorMukherjee, Imonen_UK
dc.contributor.editorBakshi, Sambiten_UK
dc.contributor.editorChatterji, Sanjayen_UK
dc.contributor.editorSa, Pankaj Ken_UK
dc.date.accessioned2020-12-18T01:11:46Z-
dc.date.available2020-12-18T01:11:46Z-
dc.date.issued2021en_UK
dc.identifier.urihttp://hdl.handle.net/1893/32104-
dc.description.abstractThe exploitation of film and video content on physical media, broadcast and Internet involves working with many large media files. The move to file-based workflows necessitates the copying and transfer of digital assets amongst many parties, but the detachment of assets and their metadata leads to issues of reliability, quality and security. This paper proposes a novel watermarking-based approach to deliver a unique solution to enable digital media assets to be maintained with their metadata persistently and robustly. Watermarking-based solution for entertainment content manifests new challenges, including maintaining high quality of the media content, robustness to compression and file format changes and synchronisation against scene editing. The proposed work addresses these challenges and demonstrates interoperability with an existing industrial software framework for media asset management (MAM) systems.en_UK
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.relationBhowmik D, Abhayaratne C & Green S (2021) Video Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC). In: Mandal JK, Mukherjee I, Bakshi S, Chatterji S & Sa PK (eds.) Computational Intelligence and Machine Learning. Advances in Intelligent Systems and Computing, 1276. 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019), West Bengal, India. Singapore: Springer, pp. 185-198. https://doi.org/10.1007/978-981-15-8610-1_19en_UK
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing, 1276en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a post-peer-review, pre-copyedit version of a paper published in Mandal JK, Mukherjee I, Bakshi S, Chatterji S & Sa PK (eds.) Computational Intelligence and Machine Learning. Advances in Intelligent Systems and Computing, 1276. 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019), West Bengal, India. Singapore: Springer, pp. 185-198. The final authenticated version is available online at: https://doi.org/10.1007/978-981-15-8610-1_19en_UK
dc.rights.urihttps://storre.stir.ac.uk/STORREEndUserLicence.pdfen_UK
dc.titleVideo Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC)en_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2021-11-26en_UK
dc.rights.embargoreason[PARTEC_icacni2019.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1007/978-981-15-8610-1_19en_UK
dc.citation.issn2194-5357en_UK
dc.citation.spage185en_UK
dc.citation.epage198en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderInnovate UKen_UK
dc.author.emaildeepayan.bhowmik@stir.ac.uken_UK
dc.citation.btitleComputational Intelligence and Machine Learningen_UK
dc.citation.conferencelocationWest Bengal, Indiaen_UK
dc.citation.conferencename7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019)en_UK
dc.citation.date25/11/2020en_UK
dc.citation.isbn9789811586095en_UK
dc.citation.isbn9789811586101en_UK
dc.publisher.addressSingaporeen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Sheffielden_UK
dc.contributor.affiliationZOO Digital Groupen_UK
dc.identifier.scopusid2-s2.0-85097654930en_UK
dc.identifier.wtid1685444en_UK
dc.contributor.orcid0000-0003-1762-1578en_UK
dc.date.accepted2019-11-13en_UK
dcterms.dateAccepted2019-11-13en_UK
dc.date.filedepositdate2020-11-29en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionAMen_UK
local.rioxx.authorBhowmik, Deepayan|0000-0003-1762-1578en_UK
local.rioxx.authorAbhayaratne, Charith|en_UK
local.rioxx.authorGreen, Stuart|en_UK
local.rioxx.projectProject ID unknown|Innovate UK|http://dx.doi.org/10.13039/501100006041en_UK
local.rioxx.contributorMandal, Jyotsna Kumar|en_UK
local.rioxx.contributorMukherjee, Imon|en_UK
local.rioxx.contributorBakshi, Sambit|en_UK
local.rioxx.contributorChatterji, Sanjay|en_UK
local.rioxx.contributorSa, Pankaj K|en_UK
local.rioxx.freetoreaddate2021-11-26en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2021-11-25en_UK
local.rioxx.licencehttps://storre.stir.ac.uk/STORREEndUserLicence.pdf|2021-11-26|en_UK
local.rioxx.filenamePARTEC_icacni2019.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source9789811586101en_UK
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