Columbia University's semantic video search engine 2008
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
CuZero: embracing the frontier of interactive visual search for informed users
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
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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 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.