A video complexity index for cluster computing

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorRodríguez, Demóstenes Zegarra-
Autor(es): dc.creatorRosa, Renata Lopes-
Autor(es): dc.creatorBressan, Graça-
Data de aceite: dc.date.accessioned2026-02-09T12:18:41Z-
Data de disponibilização: dc.date.available2026-02-09T12:18:41Z-
Data de envio: dc.date.issued2017-10-24-
Data de envio: dc.date.issued2017-10-24-
Data de envio: dc.date.issued2014-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/15583-
Fonte completa do material: dc.identifierhttp://journals.uob.edu.bh/IJCDS/contents/volume-18/articles/article-187-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1158734-
Descrição: dc.descriptionEntertainment applications that work with images and videos processing use the Cluster computing to decrease their rendering time. A complexity level can be experimentally determined according to the time spent to render a video. This paper study the time spent for rendering 3D videos on a Beowulf cluster computing with PovRay software on a GNU/Linux environment. For another hand, the video complexity is determined by a novel metric named Video Complexity Index (VCI) that considers both, the spatial and temporal video characteristics, the metric is tested with videos of different complexity. Experimental results with the cluster number increasing demonstrate that VCI metric successfully classifies the video complexity according to the number of nodes used to render them, considering the processing time consumed for a cluster. So, VCI metric can be very useful to find the minimal number of nodes depending of the 3D video complexity-
Idioma: dc.languageen-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceInternational Journal of Computing and Digital Systems-
Palavras-chave: dc.subjectCluster computing-
Palavras-chave: dc.subjectVideo complexity index-
Palavras-chave: dc.subjectSpatial and temporal video characteristics-
Palavras-chave: dc.subject3D video complexity-
Título: dc.titleA video complexity index for cluster computing-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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