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Mediamill: Searching Multimedia Archives Based on Learned Semantics
Amsterdam, Netherlands July 06-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2005.15217362005 IEEE International Conference on ...
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C.G.M. Snoek, MediaMill Kruislaan 403, 1098 SJ Amsterdam, The Netherlands, mediamill@science.uva.nl
Video is about to conquer the Internet. Real-time delivery of video content is technically possible to any desktop and mobile device, even with modest connections. The main problem hampering massive (re) usage of video content today is the lack of effective content based tools that provide semantic access. In this contribution we discuss systems for both video analysis and video retrieval that facilitate semantic access to video sources. Both systems were evaluated in the 2004 TRECVID benchmark as top performers in their task.
Citation:
C.G.M. Snoek, D.C. Koelma, J. van Rest, N. Schipper, F.J. Seinstra, A. Thean, M. Worring, "Mediamill: Searching Multimedia Archives Based on Learned Semantics," icme, pp.1575-1577, 2005 IEEE International Conference on Multimedia and Expo, 2005
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