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VIDI-Video
The VIDI-Video project aims to integrate and develop state of the art components from machine learning, audio event detection, video processing, interaction and visualization into a fully implemented audio-visual search engine combining large number of categories and exploiting the interclass similarities as well as using the information from different sources: metadata, keyword annotations, audio visual data, speech, and explicit knowledge.
VIDI-Video is performing extensive experiments in each field of specialisation to optimize the parameters and classification performance based on the classification methods chosen for the final system.
VIDI-Video project will substantially enhance access to video, by developing a semantic search engine.
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4 videos
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