Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Measuring the influence of Concept Detection on Video Retrieval
Año:2009
Áreas de investigación
  • Inteligencia artificial
Datos
Descripción
There is an increasing emphasis on including semantic concept detection as part of video retrieval. This represents a modality for retrieval quite different from metadata-based and keyframe similaritybased approaches. One of the premises on which the success of this is based, is that good quality detection is available in order to guarantee retrieval quality. But how good does the feature detection actually need to be? Is it possible to achieve good retrieval quality, even with poor quality concept detection and if so then what is the ¿tipping point¿ below which detection accuracy proves not to be beneficial? In this paper we explore this question using a collection of rushes video where we artificially vary the quality of detection of semantic features and we study the impact on the resulting retrieval. Our results show that the impact of improving or degrading performance of concept detectors is not directly reflected as retrieval performance and this raises interesting questions about how accurate concept detection really needs to be.
Internacional
Si
Nombre congreso
The 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
Tipo de participación
960
Lugar del congreso
Münster, Germany
Revisores
Si
ISBN o ISSN
978-3-642-03766-5
DOI
10.1007/978-3-642-03767-2_71
Fecha inicio congreso
02/09/2009
Fecha fin congreso
04/09/2009
Desde la página
581
Hasta la página
589
Título de las actas
Proc.of the 13th International Conference on Computer Analysis of Images and Patterns (CAIP 2009)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Angel Rodriguez Mtnez.de Bartolome (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Tecnología Fotónica
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