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Large-Scale Concept Ontology for Multimedia
July-September 2006 (vol. 13 no. 3)
pp. 86-91
ASCII Text
x 
 
Milind Naphade, John R. Smith, Jelena Tesic, Shih-Fu Chang, Winston Hsu, Lyndon Kennedy, Alexander Hauptmann, Jon Curtis, "Large-Scale Concept Ontology for Multimedia," IEEE Multimedia, vol. 13, no. 3, pp. 86-91, July-September, 2006.
 
 
BibTex
x
 
@article{ 10.1109/MMUL.2006.63,
author = {Milind Naphade and John R. Smith and Jelena Tesic and Shih-Fu Chang and Winston Hsu and Lyndon Kennedy and Alexander Hauptmann and Jon Curtis},
title = {Large-Scale Concept Ontology for Multimedia},
journal ={IEEE Multimedia},
volume = {13},
number = {3},
issn = {1070-986X},
year = {2006},
pages = {86-91},
doi = {http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.63},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Multimedia
TI - Large-Scale Concept Ontology for Multimedia
IS - 3
SN - 1070-986X
SP86
EP91
EPD - 86-91
A1 - Milind Naphade,
A1 - John R. Smith,
A1 - Jelena Tesic,
A1 - Shih-Fu Chang,
A1 - Winston Hsu,
A1 - Lyndon Kennedy,
A1 - Alexander Hauptmann,
A1 - Jon Curtis,
PY - 2006
KW - lscom
KW - large-scale concept ontology for multimedia
KW - automated extraction
KW - semantics
KW - video data sets
KW - broadcast news
KW - standardized taxonomy
VL - 13
JA - IEEE Multimedia
ER -
 
Milind Naphade, IBM T.J. Watson Research Center
John R. Smith, IBM T.J. Watson Research Center
Jelena Tesic, IBM T.J. Watson Research Center
Shih-Fu Chang, Columbia University
Winston Hsu, Columbia University
Lyndon Kennedy, Columbia University
Alexander Hauptmann, Carnegie Mellon University
Jon Curtis, Cyc Corp.
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.
Index Terms:
lscom, large-scale concept ontology for multimedia, automated extraction, semantics, video data sets, broadcast news, standardized taxonomy
Citation:
Milind Naphade, John R. Smith, Jelena Tesic, Shih-Fu Chang, Winston Hsu, Lyndon Kennedy, Alexander Hauptmann, Jon Curtis, "Large-Scale Concept Ontology for Multimedia," IEEE Multimedia, vol. 13, no. 3, pp. 86-91, July-Sept. 2006, doi:10.1109/MMUL.2006.63
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