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.
