MediaMill: Video Search using a Thesaurus of 500 Machine Learned Concepts
Cees G. M. Snoek, Marcel Worring, Bouke Huurnink, Jan C. van Gemert, Koen E. A. van de Sande, D.C. Koelma, Ork de Rooij · UvA-DARE (University of Amsterdam) · 2006
In this technical demonstration we showcase 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 thesaurus of 500 automatically detected semantic concepts. To handle such a large thesaurus in retrieval, an engine is developed which automatically selects a set of relevant concepts based on the textual query and userspecified example images. The result set can be browsed easily to obtain the final result for the query.