%0 Conference Proceedings
%F EZ_icsc:2007
%A Zavesky, Eric
%A Liu, Zhu
%A Gibbon, David
%A Shahraray, Behzad
%T {Searching Visual Semantic Spaces with Concept Filters}
%B {IEEE International Conference on Semantic Computing}
%C Irvine, California
%X Semantic concepts cement the ability to correlate visual information to higher-level semantic concepts. Traditional image search leverages text associated with images, a lowlevel 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
%U http://www.ee.columbia.edu/dvmm/publications/07/07icsc_paper_compressed.pdf
%8 September
%D 2007