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dc.contributor.authorStefan, Julia
dc.contributor.authorBrown, Andrew R
dc.date.accessioned2017-10-16T12:30:41Z
dc.date.available2017-10-16T12:30:41Z
dc.date.issued2015
dc.identifier.issn1462-6268
dc.identifier.doi10.1080/14626268.2014.932289
dc.identifier.urihttp://hdl.handle.net/10072/67511
dc.description.abstractThis article outlines the design of a system for dynamic real-time editing of online music video sequences, utilising probabilistic parameters and algorithmic decisionmaking for progression. It will explain how this system enables videos to be different every time they are accessed, thus providing users with an enhanced viewing experience and creators with a new tool for video composition. As the advancement of online technology influences habits of media consumers, user uptake of new technologies suggests that a transition away from video's prevalent mode of presentation, as a linear sequence of shots, is entirely possible. Factors such as viewer engagement and usability drive the need for ongoing exploration in the use of video for entertainment, information and advertisement. The production of a music video with generative methods is described in this article as a semi-automated process. Human tasks are not replaced by computational execution, but are shifted to become increasingly conceptual.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherRoutledge
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto11
dc.relation.ispartofjournalDigital Creativity
dc.rights.retentionY
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchBuilt environment and design
dc.subject.fieldofresearchCreative arts and writing
dc.subject.fieldofresearchInteractive media
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode33
dc.subject.fieldofresearchcode36
dc.subject.fieldofresearchcode360504
dc.titleGenerative Music Video Composition: Using automation to extend creative practice
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.facultyArts, Education & Law Group, Queensland College of Art
gro.rights.copyright© 2014 Taylor & Francis (Routledge). This is an Accepted Manuscript of an article published by Taylor & Francis in Digital Creativity on 15 Jul 2014, available online: http://www.tandfonline.com/doi/full/10.1080/14626268.2014.932289
gro.hasfulltextFull Text
gro.griffith.authorBrown, Andrew R.


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