Title :
Searching Visual Semantic Spaces with Concept Filters
Author :
Zavesky, Eric ; Liu, Zhu ; Gibbon, David ; Shahraray, Behzad
Author_Institution :
AT&T Labs Res., Middletown
Abstract :
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 (L. Kennedy, 2006)) 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.
Keywords :
information filtering; video retrieval; LSCOM lexicon; concept filters; image searching techniques; targeted user interaction; video data; visual semantic spaces searching; Data mining; Feature extraction; Image databases; Information retrieval; Machine learning; Multimedia communication; Navigation; Portable media players; Satellite broadcasting; TV broadcasting;
Conference_Titel :
Semantic Computing, 2007. ICSC 2007. International Conference on
Conference_Location :
Irvine, CA
Print_ISBN :
978-0-7695-2997-4
DOI :
10.1109/ICSC.2007.73
