Building Detectors to Support Searches on Combined Semantic Concepts

Aly, R.B.N. and Hiemstra, D. and Ordelman, R.J.F. (2007) Building Detectors to Support Searches on Combined Semantic Concepts. In: Proceedings of the Multimedia Information Retrieval Workshop, 27 Aug 2007, Amsterdam, The Netherlands.

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Abstract:	Bridging the semantic gap is one of the big challenges in multimedia information retrieval. It exists between the extraction of low-level features of a video and its conceptual contents. In order to understand the conceptual content of a video a common approach is building concept detectors. A problem of this approach is that the number of detectors is impossible to determine. This paper presents a set of 8 methods on how to combine two existing concepts into a new one, which occurs when both concepts appear at the same time. The scores for each shot of a video for the combined concept are computed from the output of the underlying detectors. The findings are evaluated on basis of the output of the 101 detectors including a comparison to the theoretical possibility to train a classifier on each combined concept. The precision gains are significant, specially for methods which also consider the chronological surrounding of a shot promising.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Databases (DB) Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/64301
Official URL:	http://yr-bcn.es/events/mir2007-workshop/SIGIR2007-MIR.pdf
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