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Cited by 648

The DOI matches its Crossref record.

Large-Scale Concept Ontology for Multimedia

Naphade, M., Smith, J.R., Tesic, J., Shih-Fu Chang, Hsu, W., Kennedy, L., Hauptmann, A., Curtis, J.·2006·IEEE Multimedia
DOI 10.1109/mmul.2006.63
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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.

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Metadata

Authors
Naphade, M., Smith, J. R., Tesic, J., Chang, S.-F., Hsu, W., Kennedy, L., Hauptmann, A., & Curtis, J.
Venue
IEEE Multimedia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2006-07
Volume
13
Issue
3
Pages
86-91
ISSN
1070-986X (ISSN-L)
DOI
10.1109/mmul.2006.63
OpenAlex
W2089150756
Cited by
648
References
0
FWCI
81.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Large-Scale Concept Ontology for Multimedia. https://app.cochat.ai/papers/10.1109/mmul.2006.63
The paper
Naphade, M., Smith, J. R., Tesic, J., Chang, S.-F., Hsu, W., Kennedy, L., Hauptmann, A., & Curtis, J. (2006). Large-Scale Concept Ontology for Multimedia. IEEE Multimedia. https://doi.org/10.1109/mmul.2006.63

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.