A Large Scale Structured Concept Library

EventNet consists of 500 events and 4,490 event-specific concepts. It includes automatic detection models for the video events and constituent concepts using deep learning with around 95K training videos from YouTube. The system allows users to explore rich hierarchical structures among video events, relations between concepts and events, and automatic detection of events and concepts embedded in user-uploaded videos in a live fashion. The novel functions of EventNet includes: 1) interactive ontology browsing, 2) semantic event search, and 3) tagging of user-loaded videos via open web interfaces.

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