Large-scale concept ontology for multimedia

Author

Naphade, Milind ; Smith, John R. ; Tesic, Jelena ; Chang, Shih-Fu ; Hsu, Winston ; Kennedy, Amd Lyndon ; Hauptmann, Alexander ; Curtis, Jon

Author_Institution

IBM TJ Watson Res. Center, Yorktown Heights, NY

Volume

13

Issue

3

fYear

2006

Firstpage

86

Lastpage

91

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 in diverse broadcast news video data sets

Keywords

multimedia computing; ontologies (artificial intelligence); video signal processing; vocabulary; broadcast news video; large standardized taxonomy; large-scale concept ontology; multimedia; Collaboration; Design optimization; Digital multimedia broadcasting; Large-scale systems; Libraries; Multimedia communication; Ontologies; Tagging; Taxonomy; Vocabulary; automated extraction; broadcast news; large-scale concept ontology for multimedia; lscom; semantics; standardized taxonomy; video data sets;

fLanguage

English

Journal_Title

MultiMedia, IEEE

Publisher

ieee

ISSN

1070-986X

Type

jour

DOI

10.1109/MMUL.2006.63

Filename

1667983