Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/65846
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dc.creatorCarles Fernandez
dc.creatorJordi Gonzàlez
dc.creatorJoão Manuel R. S. Tavares
dc.creatorF. Xavier Roca
dc.date.accessioned2022-09-07T22:50:05Z-
dc.date.available2022-09-07T22:50:05Z-
dc.date.issued2013
dc.identifier.othersigarra:68573
dc.identifier.urihttps://hdl.handle.net/10216/65846-
dc.description.abstractThe increasing ubiquitousness of digital information in our daily lives has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance footage. This raises a series of technological demands for automatic video understanding and management, which together with the compromising attentional limitations of human operators, have motivated the research community to guide its steps towards a better attainment of such capabilities. As a result, current trends on cognitive vision promise to recognize complex events and self-adapt to different environments, while managing and integrating several types of knowledge. Future directions suggest to reinforce the multi-modal fusion of information sources and the communication with end-users.
dc.language.isoeng
dc.relation.ispartofTopics in Medical Image Processing and Computational Vision
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências Tecnológicas, Ciências exactas e naturais
dc.subjectTechnological sciences, Natural sciences
dc.titleTowards ontological cognitive system
dc.typeCapítulo ou Parte de Livro
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1007/978-94-007-0726-9_5
dc.subject.fosCiências exactas e naturais
dc.subject.fosNatural sciences
Appears in Collections:FEUP - Capítulo ou Parte de Livro

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