We present a probabilistic reliable-inference framework to address the issue of rapid detection of human actions with low error rates. The approach determines the shortest video e...
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Abstract—The ability to filter improper content from multimedia sources based on visual content has important applications, since text-based filters are clearly insufficient a...
For the huge amounts of audio and video material that could usefully be included in digital libraries, the cost of producing human-generated annotations and meta-data is prohibiti...
Alexander G. Hauptmann, Michael J. Witbrock, Micha...
In this paper we present a full-featured license plate detection and recognition system. The system is implemented on an embedded DSP platform and processes a video stream in real...