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Columbia University's semantic video search engine
2007
Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07
We briefly describe "CuVid," Columbia University's video search engine, a system that enables semantic multimodal search over video broadcast news collections. The system was developed and first evaluated for the NIST TRECVID 2005 benchmark and later expanded to include a large number (374) of visual concept detectors. Our focus is on comparative studies of pros and cons of search methods built on various individual modalities (keyword, image, near-duplicate, and semantic concept) and
doi:10.1145/1282280.1282371
dblp:conf/civr/ChangKZ07
fatcat:qysqx5tckvfa7chbd55h5egunu