Columbia University's semantic video search engine
Shih‐Fu Chang, Lyndon S. Kennedy, Eric Zavesky · 2007
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 combinations, without requiring advanced tools and interfaces for interactive search.