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Searching Visual Semantic Spaces with Concept Filters
Irvine, California September 17-September 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.73International Conference on Semantic ...
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Eric Zavesky, Zhu Liu, David Gibbon, Behzad Shahraray, "Searching Visual Semantic Spaces with Concept Filters," International Conference on Semantic Computing, pp. 329-336, International Conference on Semantic Computing (ICSC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICSC.2007.73,
author = {Eric Zavesky and Zhu Liu and David Gibbon and Behzad Shahraray},
title = {Searching Visual Semantic Spaces with Concept Filters},
journal ={International Conference on Semantic Computing},
volume = {0},
year = {2007},
isbn = {0-7695-2997-6},
pages = {329-336},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.73},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Conference on Semantic Computing
TI - Searching Visual Semantic Spaces with Concept Filters
SN - 0-7695-2997-6
SP329
EP336
A1 - Eric Zavesky,
A1 - Zhu Liu,
A1 - David Gibbon,
A1 - Behzad Shahraray,
PY - 2007
KW - null
VL - 0
JA - International Conference on Semantic Computing
ER -
 
Eric Zavesky, AT&T Labs Research, USA
Zhu Liu, AT&T Labs Research, USA
David Gibbon, AT&T Labs Research, USA
Behzad Shahraray, AT&T Labs Research, USA
Semantic concepts cement the ability to correlate visual information to higher-level semantic concepts. Traditional image search leverages text associated with images, a low-level content-based matching, or a combination of the two. We propose a new system that uses 374 semantic concepts (derived from the LSCOM lexicon [6]) to semantically facilitate fast exploration of a large set of video data. This new system, when coupled with traditional image search techniques produces a very intuitive and fruitful design for targeted user interaction.
Citation:
Eric Zavesky, Zhu Liu, David Gibbon, Behzad Shahraray, "Searching Visual Semantic Spaces with Concept Filters," icsc, pp.329-336, International Conference on Semantic Computing (ICSC 2007), 2007
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