@inproceedings{582858066bfc4623baa68b5971305a4b,
title = "Building Detectors to Support Searches on Combined Semantic Concepts",
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.",
keywords = "EWI-10923, IR-64301, METIS-241850, semantic concept, concept combination",
author = "Robin Aly and Djoerd Hiemstra and Ordelman, {Roeland J.F.}",
year = "2007",
month = aug,
language = "Undefined",
isbn = "not assigned",
publisher = "Yahoo! Research",
number = "LNCS4549",
pages = "40--45",
booktitle = "Proceedings of the Multimedia Information Retrieval Workshop",
note = "Multimedia Information Retrieval Workshop 2007 ; Conference date: 27-08-2007 Through 27-08-2007",
}