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Eric Zavesky, Zhu Liu, David Gibbon, Behzad Shahraray. Searching Visual Semantic Spaces with Concept Filters. In IEEE International Conference on Semantic Computing, Irvine, California, September 2007.

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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


Eric Zavesky

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   Author = {Zavesky, Eric and Liu, Zhu and Gibbon, David and Shahraray, Behzad},
   Title = {{Searching Visual Semantic Spaces with Concept Filters}},
   BookTitle = {{IEEE International Conference on Semantic Computing}},
   Address = {Irvine, California},
   Month = {September},
   Year = {2007}

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