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dc.date.accessioned2013-07-08T14:35:48Z
dc.date.available2013-07-08T14:35:48Z
dc.date.created2013-01-09T19:43:49Z
dc.date.issued2013
dc.identifier.citationJensenius, Alexander Refsum . Some Video Abstraction Techniques for Displaying Body Movement in Analysis and Performance. Leonardo: Journal of the International Society for the Arts, Sciences and Technology. 2013, 46(1), 53-60
dc.identifier.urihttp://hdl.handle.net/10852/36025
dc.description.abstractThis paper presents an overview of techniques for creating visual displays of human body movement based on video recordings. First a review of early movement and video visualization techniques is given. Then follows an overview of techniques that the author has developed and used in the study of music-related body movements: motion history images, motion average images, motion history keyframe images and motiongrams. Finally, examples are given of how such visualization techniques have been used in empirical music research, in medical research and for creative applications. Copyright 2013 ISAST.
dc.languageEN
dc.titleSome Video Abstraction Techniques for Displaying Body Movement in Analysis and Performance
dc.typeJournal article
dc.creator.authorJensenius, Alexander Refsum
cristin.unitcode185,14,36,10
cristin.unitnameMusikkvitenskap fag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin984938
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Leonardo: Journal of the International Society for the Arts, Sciences and Technology&rft.volume=46&rft.spage=53&rft.date=2013
dc.identifier.jtitleLeonardo: Journal of the International Society for the Arts, Sciences and Technology
dc.identifier.volume46
dc.identifier.issue1
dc.identifier.startpage53
dc.identifier.endpage60
dc.identifier.doihttp://dx.doi.org/10.1162/LEON_a_00485
dc.identifier.urnURN:NBN:no-38076
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0024-094X
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/36025/2/Jensenius_2013.pdf
dc.type.versionPublishedVersion


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