On Thursday 13th, a meeting of the Vidi-Video is scheduled.
VIDI-Video project takes on the challenge of creating a substantially enhanced semantic access to video, implemented in a search engine. The engine will boost the performance of video search by forming a 1000 element thesaurus detecting instances of audio, visual or mixed-media content. Concrete outputs will be a fully implemented audio-visual search engine, consisting of two main parts, viz. a learning system and a runtime system, where the former will feed its results into the latter after each round of training-and-thesaurus-update. The learning system will consist of software to be developed for overall video processing; visual analysis; audio analysis; integrated feature detector; and multimedia query and user interface.
The key objectives of this project are:
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