Large-Scale Concept Ontology for Multimedia
IBM (United States) · IBM Research - Thomas J. Watson Research Center · +3 more institutions
Abstract
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 paper describes a 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…
Citation impact
- FWCI
- 67.81
- Percentile
- 100%
- References
- 0
Authors
8- MNMilind NaphadeCorresponding
IBM (United States), IBM Research - Thomas J. Watson Research Center
- JRJohn R. Smith
IBM (United States), IBM Research - Thomas J. Watson Research Center
- JTJ. Tesic
IBM (United States), IBM Research - Thomas J. Watson Research Center
- SCShih-Fu Chang
Columbia University
- WHWinston H. Hsu
Columbia University
Topics & keywords
- Computer science
- Interoperability
- Multimedia
- Ontology
- World Wide Web
- Semantics (computer science)
- Focus (optics)
- Metadata
- Quality Education