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Multimedia content classification metrics for content adaptation

dc.contributor.authorFernandes, Rui
dc.contributor.authorAndrade, M.T.
dc.date.accessioned2018-03-21T10:23:28Z
dc.date.available2018-03-21T10:23:28Z
dc.date.issued2016
dc.description.abstractMultimedia content consumption is very popular nowadays. However, not every content can be consumed in its original format: the combination of content, transport and access networks, consumption device and usage environment characteristics may all pose restrictions to that purpose. One way to provide the best possible quality to the user is to adapt the content according to these restrictions as well as user preferences. This adaptation stage can be best executed if knowledge about the content is known a-priori. In order to provide this knowledge we classify the content based on metrics to define its temporal and spatial complexity. The temporal complexity classification is based on the Motion Vectors of the predictive encoded frames and on the difference between frames. The spatial complexity classification is based on different implementations of an edge detection algorithm and an image activity measure.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFernandes, Rui; Andrade, M.T. (2016). Multimedia content classification metrics for content adaptation. U.Porto Journal of Engineering. ISSN 2183-6493. 2:2, p. 14-25pt_PT
dc.identifier.issn2183-6493
dc.identifier.urihttp://hdl.handle.net/10198/16447
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMultimedia classificationpt_PT
dc.subjectTemporal complexitypt_PT
dc.subjectSpatial complexitypt_PT
dc.subjectMultimedia adaptationpt_PT
dc.titleMultimedia content classification metrics for content adaptationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlacePortopt_PT
oaire.citation.endPage25pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage14pt_PT
oaire.citation.titleU.Porto Journal of Engineeringpt_PT
oaire.citation.volume2pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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