Searching Visual Semantic Spaces with Concept Filters

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.

• Type: Conference
• Year: 2007
• Where: SEMCO
• Authors: Eric Zavesky, Zhu Liu, David C. Gibbon, Behzad Shahraray
• Keywords: Image Search Leverages, Semantic Computing, Semantic Concepts, SEMCO 2007, Traditional Image Search