Issue No. 03 - July-September (2006 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.63
Alexander Hauptmann , Carnegie Mellon University
Jon Curtis , Cyc Corp.
Lyndon Kennedy , Columbia University
John R. Smith , IBM T.J. Watson Research Center
Shih-Fu Chang , Columbia University
Jelena Tesic , IBM T.J. Watson Research Center
Winston Hsu , Columbia University
Milind Naphade , IBM T.J. Watson Research Center
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.
lscom, large-scale concept ontology for multimedia, automated extraction, semantics, video data sets, broadcast news, standardized taxonomy
Alexander Hauptmann, Jon Curtis, Lyndon Kennedy, John R. Smith, Shih-Fu Chang, Jelena Tesic, Winston Hsu, Milind Naphade, "Large-Scale Concept Ontology for Multimedia", IEEE MultiMedia, vol. 13, no. , pp. 86-91, July-September 2006, doi:10.1109/MMUL.2006.63