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 (pp. pp. 40-45).

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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
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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