Large-Scale Concept Ontology for Multimedia

作者：Milind Naphade, John R. Smith, J. Tesic, Shih-Fu Chang, Winston H. Hsu, Leda Kennedy, Alex Hauptmann, Jeffrey L. Curtis · 发表于：IEEE Multimedia · 年份：2006 · DOI：10.1109/mmul.2006.63 · 被引用次数：652 · 研究领域：Video Analysis and Summarization、Advanced Text Analysis Techniques、Music and Audio Processing

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.