TubeTagger is a concept-based video retrieval system that exploits web video as an information
source. The system performs a visual learning on YouTube clips (i.e.,it trains detectors for semantic
concepts like “soccer” or “windmill”), and a semantic learning on the associated tags (i.e., relations
between concepts are discovered).
In the picture below you can see what the main page of the demo looks like and where you start:
1. Select a category...
2. .. or start by entering a text query.
3. Switch between an evaluation on video or keyframe level.