Measuring the influence of concept detection on video retrieval
Toharia, Pablo and Robles, Oscar D. and Smeaton, Alan F. and Rodríguez, Ángel (2009) Measuring the influence of concept detection on video retrieval. In: CAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns, 2-4 September 2009, Münster (North Rhine-Westphalia), Germany. ISBN 978-3-642-03766-5
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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 similarity-based 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.
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