2019
DOI: 10.1007/s00530-019-00610-2
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A semantic parliamentary multimedia approach for retrieval of video clips with content understanding

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Cited by 15 publications
(6 citation statements)
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References 23 publications
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“…(Arndt et al, 2009) coupled these descriptors with low levels of DOLCE ontology, while (Rinaldi, 2014) utilized linguistic properties. The researchers, in (Sánchez-Nielsen et al, 2019), focused on the video annotation through the extraction of knowledge from the content. Thus, they were interested in studying the contextual information by using the semantic model.…”
Section: Methods Based On the Audiovisual Flux Resourcementioning
confidence: 99%
“…(Arndt et al, 2009) coupled these descriptors with low levels of DOLCE ontology, while (Rinaldi, 2014) utilized linguistic properties. The researchers, in (Sánchez-Nielsen et al, 2019), focused on the video annotation through the extraction of knowledge from the content. Thus, they were interested in studying the contextual information by using the semantic model.…”
Section: Methods Based On the Audiovisual Flux Resourcementioning
confidence: 99%
“…"A semantic parliamentary multimedia approach for retrieval of video clips with content understanding" El artículo introduce un enfoque semántico para mejorar la recuperación y comprensión de contenido en videos relacionados con actividades parlamentarias. Destaca la creación de una ontología para modelar conceptos parlamentarios, un framework de anotación semántica para enriquecer los recursos de video y una arquitectura de sistema que incorpora estas técnicas [28].…”
Section: Procedimientosunclassified
“…For instance, Video Ontology (VidOnt) [108] provides an ontology defined in OWL for multimedia content that incorporates spatio-temporal annotations that integrate, in its vocabulary, elements from multimedia metadata standards such as MPEG-7, EBU CCDM, and Dublin Core. The need for introducing semantics in content descriptors has also been identified for parliamentary video content understanding [109] and television broadcasted content [110], where standard metadata schemas have been translated into ontologies. An ontology-based fuzzy video semantic content model for object, event, and concept extraction was also proposed in [111].…”
Section: A Ontology-based Knowledge Representationmentioning
confidence: 99%