News-on-Demand:
An Application of Informedia®
Technology
Alexander G.
Hauptmann, Michael J. Witbrock, and Michael G. Christel
School of Computer Science
Carnegie Mellon University
5000 Forbes
Ave.
Pittsburgh, PA 15213-3890
Abstract
The Informedia®: News-on-Demand
system is an innovative example of indexing and searching broadcast video and
audio material by text content. News-on-Demand is a fully-automatic system that
monitors TV, radio and text news and allows selective retrieval of news stories
based on spoken queries. The user may choose among the retrieved stories and play
back the news stories of interest. The system runs on a Pentium PC using MPEG-I
video compression. Speech recognition is done on a separate platform using the
Sphinx-II continuous speech recognition
system.
Keywords: MPEG
video compression, speech recognition, real-time news processing, full content
video search and retrieval, multimedia database search, language processing.
Index
Goals of the
Informedia Digital Library Project
News-on-Demand
The
Informedia: News-on-Demand library creation process
How
News-on-Demand Works
A Walk-Through
of some Key Features in News-on-Demand
Research
Issues in Informedia: News-on-Demand
News-on-Demand: Types
of Errors
News-on-Demand:
Conclusions
Informedia
News-on-Demand: References
Next: Goals of the
Informedia Digital Library Project
This material is based upon work supported by the National
Science Foundation under Cooperative Agreement No. IRI-9411299. Any opinions,
findings, and conclusions or recommendations expressed in this material are
those of the author(s) and do not necessarily reflect the views of the National
Science Foundation.
