Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2012-04-12
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
We present a system that produces sentential descriptions of video: who did what to whom, and where and how they did it. Action class is rendered as a verb, participant objects as noun phrases, properties of those objects as adjectival modifiers in those noun phrases,spatial relations between those participants as prepositional phrases, and characteristics of the event as prepositional-phrase adjuncts and adverbial modifiers. Extracting the information needed to render these linguistic entities requires an approach to event recognition that recovers object tracks, the track-to-role assignments, and changing body posture.
Barbu Andrei
Bridge Alexander
Burchill Zachary
Coroian Dan
Dickinson Sven
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