dc.creatorIparraguirre, Javier
dc.creatorDelrieux, Claudio
dc.creatorPerez Meyer, Lisandro
dc.date2010
dc.date2010
dc.date2023-05-10T15:40:41Z
dc.date.accessioned2023-07-15T10:24:43Z
dc.date.available2023-07-15T10:24:43Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/152721
dc.identifierhttp://39jaiio.sadio.org.ar/sites/default/files/39-jaiio-ast-09.pdf
dc.identifierissn:1850-2806
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7491768
dc.descriptionReal-time video processing is steadily becoming a standard matter in a wide diversity of applications, including computer vision, surveillance, social networks, and many other. Unsupervised video interpretation is required to avoid the operative expense and faultiness of human-in-the-loop interpretation. However, robust, general purpose real-time unsupervised video interpretation and analysis appears to be among the most difficult processing tasks. In this work we present advances in real-time video stream processing, in particular in automatic key-frames detection. This detection procedure is based on feature analysis and evaluation of the features detected by the popular SURF algorithm. We present the implementation details, some interesting experimental results are shown, and we discuss some of the applications that our detection algorithm may have.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa
dc.formatapplication/pdf
dc.format1610-1613
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectComputer vision
dc.subjectvideo processing
dc.subjectrobust visual descriptor
dc.subjectkey-frame detection
dc.subjectparallel processing
dc.titleAutomatic Real Time Key-frame Detection in Video Stream Using SURF Algorithm
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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