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Shih-Fu Chang, Lyndon Kennedy, Eric Zavesky. Columbia University's Semantic Video Search Engine. In ACM International Conference on Image and Video Retrieval, Amsterdam, Netherlands, July 2007.

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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.


Shih-Fu Chang
Lyndon Kennedy
Eric Zavesky

BibTex Reference

   Author = {Chang, Shih-Fu and Kennedy, Lyndon and Zavesky, Eric},
   Title = {{Columbia University's Semantic Video Search Engine}},
   BookTitle = {{ACM International Conference on Image and Video Retrieval}},
   Address = {Amsterdam, Netherlands},
   Month = {July},
   Year = {2007}

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