This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Large-Scale Concept Ontology for Multimedia
July-September 2006 (vol. 13 no. 3)
pp. 86-91
Milind Naphade, IBM T.J. Watson Research Center
John R. Smith, IBM T.J. Watson Research Center
Jelena Tesic, IBM T.J. Watson Research Center
Shih-Fu Chang, Columbia University
Winston Hsu, Columbia University
Lyndon Kennedy, Columbia University
Alexander Hauptmann, Carnegie Mellon University
Jon Curtis, Cyc Corp.
As increasingly powerful techniques emerge for machine tagging multimedia content, it becomes ever more important to standardize the underlying vocabularies. Doing so provides interoperability and lets the multimedia community focus ongoing research on a well-defined set of semantics. This column describes a recent collaborative effort of multimedia researchers, library scientists, and end users to develop a large standardized taxonomy for describing broadcast news video. The Large-Scale Concept Ontology for Multimedia (LSCOM) is the first of its kind designed to simultaneously optimize utility to facilitate end-user access, cover a large semantic space, make automated extraction feasible, and increase observability in diverse broadcast news video data sets.
Index Terms:
lscom, large-scale concept ontology for multimedia, automated extraction, semantics, video data sets, broadcast news, standardized taxonomy
Citation:
Milind Naphade, John R. Smith, Jelena Tesic, Shih-Fu Chang, Winston Hsu, Lyndon Kennedy, Alexander Hauptmann, Jon Curtis, "Large-Scale Concept Ontology for Multimedia," IEEE Multimedia, vol. 13, no. 3, pp. 86-91, July-Sept. 2006, doi:10.1109/MMUL.2006.63
Usage of this product signifies your acceptance of the Terms of Use.