MediaMill: semantic video search using the RotorBrowser
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In this technical demonstration we showcase the current version of the MediaMill system[1], 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 a textual query, and an novel user interface which uses multi dimensional browsing to visualize the result set.
[1] Marcel Worring,et al. A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval , 2007, IEEE Transactions on Multimedia.