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This paper proposes a framework for retrieving semantic video events from indoor surveillance video databases. The goal is to locate video sequences containing events of interest to the user. This framework starts by tracking objects and segmenting videos into Common Appearance Intervals (CAIs). The spatiotemporal trajectories are obtained, based on which features are extracted for the construction...
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