The mediamill large.lexicon concept suggestion engine

Authors:
Marcel Worring;Cees G. M. Snoek;Bouke Huurnink;Jan C. van Gemert;Dennis C. Koelma;Ork de Rooij
Affiliations:
University of Amsterdam;University of Amsterdam;University of Amsterdam;University of Amsterdam;University of Amsterdam;University of Amsterdam
Venue:
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Year:
2006

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Abstract

In this technical demonstration we show the current version of the MediaMill system, a search engine that facilitates access to news video archives at a semantic level. The core of the system is a lexicon of 436 automatically detected semantic concepts. To handle such a large lexicon in retrieval, an engine is developed which automatically selects a set of relevant concepts based on the textual query and example images. The result set can be browsed easily to obtain the final result for the query.