dc.creatorBarbieri, Tamires Tessarolli de Souza
dc.creatorTrojahn, Tiago Henrique
dc.creatorPonti Junior, Moacir Pereira
dc.creatorGoularte, Rudinei
dc.date.accessioned2015-06-26T14:09:01Z
dc.date.accessioned2018-07-04T17:05:44Z
dc.date.available2015-06-26T14:09:01Z
dc.date.available2018-07-04T17:05:44Z
dc.date.created2015-06-26T14:09:01Z
dc.date.issued2015-04
dc.identifierSymposium on Applied Computing, 30th, 2015, Salamanca.
dc.identifier9781450331968
dc.identifierhttp://www.producao.usp.br/handle/BDPI/49010
dc.identifierhttp://dx.doi.org/10.1145/2695664.2695841
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1644585
dc.description.abstractOne of the main approaches for video scene segmentation is based on shot clustering. However, shot characterization has been left in background by researches related to video segmentation. Therefore, in this work, we propose a shot representation method based on visual features. This method uses SIFT descriptor, considers all shot frames and consists in three main steps: features reduction at frame level, features reduction at shot level and match. We evaluated our shot representation method in the scene segmentation context, with videos from movies domain and using the technique proposed in this paper. We developed a comparative study with three state of art approaches based on keyframes and the results show that our method overcomes those approaches.
dc.languageeng
dc.publisherAssociation for Computing Machinery - ACM
dc.publisherUniversity of Salamanca
dc.publisherSalamanca
dc.relationSymposium on Applied Computing, 30th
dc.rightsCopyright ACM
dc.rightsclosedAccess
dc.subjectMultimedia
dc.subjectVideo Shot Representation
dc.subjectScene Segmentation
dc.subjectVisual Features
dc.titleShot-HR: a video shot representation method based on visual features
dc.typeActas de congresos


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