Memorias de investigación
Communications at congresses:
Measuring the influence of Concept Detection on Video Retrieval
Year:2009

Research Areas
  • Artificial intelligence

Information
Abstract
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.
International
Si
Congress
The 13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
960
Place
Münster, Germany
Reviewers
Si
ISBN/ISSN
978-3-642-03766-5
10.1007/978-3-642-03767-2_71
Start Date
02/09/2009
End Date
04/09/2009
From page
581
To page
589
Proc.of the 13th International Conference on Computer Analysis of Images and Patterns (CAIP 2009)
Participants

Research Group, Departaments and Institutes related
  • Creador: Departamento: Tecnología Fotónica