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.
Download paper:
Adobe portable document (pdf) 
Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
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
@InProceedings{ChangVideoSearch:2007,
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}
}
Get EndNote Reference (.ref)
For problems or questions regarding this web site contact The
Web Master.
This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).