Artificial intelligence techniques in the interface to a Digital Video Library

Authors:
Alexander G. Hauptmann;Michael J. Witbrock;Michael G. Christel
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
Year:
1997

Citing 2
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Abstract

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 prohibitive. In the Informedia Digital Video Library, the production of meta-data supporting the library interface is automated using techniques from Artificial Intelligence (AI). By applying speech recognition, natural language processing and image analysis, the interface helps users locate the information they want and navigate or browse the digital video library more effectively. Specific AI-based interface components include automatic titles, filmstrips, video skims, word location marking and representative frames for shots.