Hide metadata

dc.date.accessioned2013-03-12T11:57:04Z
dc.date.available2013-03-12T11:57:04Z
dc.date.issued2012en_US
dc.date.submitted2012-07-18en_US
dc.identifier.urihttp://hdl.handle.net/10852/26905
dc.description.abstractMotiongrams are visual representations of human motion, generated from regular video recordings. This paper evaluates how different video features may influence the generated motiongram: inversion, colour, filtering, background, lighting, clothing, video size and compression. It is argued that the proposed motiongram implementation is capable of visualising the main motion features even with quite drastic changes in all of the above mentioned variables. Proceedings of the 9th Sound and Music Computing Conference, Copenhagen, Denmark, 11-14 July, 2012eng
dc.language.isoengen_US
dc.rightsAttribution 3.0 Unported
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/
dc.titleEvaluating how different video features influence the visual quality of resultant motiongramsen_US
dc.typeChapteren_US
dc.date.updated2012-07-18en_US
dc.creator.authorJensenius, Alexander Refsumen_US
dc.subject.nsiVDP::110en_US
dc.identifier.cristin934530en_US
dc.identifier.startpage467
dc.identifier.endpage472
dc.identifier.urnURN:NBN:no-31294en_US
dc.type.documentBokkapittelen_US
dc.identifier.duo167468en_US
dc.type.peerreviewedPeer revieweden_US
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/26905/1/Jensenius_SMC_2012b.pdf
dc.type.versionPublishedVersion
cristin.btitleProceedings of the 9th Sound and Music Computing Conference - "Illusions"


Files in this item

Appears in the following Collection

Hide metadata

Attribution 3.0 Unported
This item's license is: Attribution 3.0 Unported