Humane Interfaces to Video
We present approaches for content characterization along the natural divisions of structured and non-structured video. We propose probabilistic clustering techniques as an alternative to query-by-example in the unstructured domain, and a Bayesian formulation that exploits knowledge about structure when it is available.