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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26999
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dc.contributor.authorde Abreu, RS-
dc.contributor.authorMattos, D-
dc.contributor.authordos Santos, J-
dc.contributor.authorGhinea, G-
dc.contributor.authorMuchaluat-Saade, DC-
dc.date.accessioned2023-08-19T20:25:30Z-
dc.date.available2023-08-19T20:25:30Z-
dc.date.issued2020-07-23-
dc.identifierORCID iD: Raphael Silva de Abreu https://orcid.org/0000-0001-5917-6113; Douglas Mattos https://orcid.org/0000-0002-9887-4747; Joel dos Santos https://orcid.org/0000-0001-7234-613X; Gheorghita Ghinea https://orcid.org/0000-0003-2578-5580.-
dc.identifier.citationde Abreu, R.S. et al. (2021) 'Toward Content-Driven Intelligent Authoring of Mulsemedia Applications', IEEE Multimedia, 28 (1), pp. 7 - 16. doi: 10.1109/MMUL.2020.3011383.en_US
dc.identifier.issn1070-986X-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26999-
dc.description.sponsorshipImprovement of Higher Education Personnel—Brazil; 10.13039/501100004586-Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; 10.13039/501100003593-Conselho Nacional de Desenvolvimento Científico e Tecnológico; CAPES PRINT.en_US
dc.format.extent7 - 16-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2020 Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectmultimedia applications and multimedia signal processingen_US
dc.subjectmulsemediaen_US
dc.subjectcontent-driven authoringen_US
dc.subjectsemi-automatic authoringen_US
dc.titleToward Content-Driven Intelligent Authoring of Mulsemedia Applicationsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/MMUL.2020.3011383-
dc.relation.isPartOfIEEE Multimedia-
pubs.issue1-
pubs.publication-statusPublished-
pubs.volume28-
dc.identifier.eissn1941-0166-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Computer Science Research Papers

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