MEDIAMILL: SEARCHING MULTIMEDIA ARCHIVES BASED ON LEARNED SEMANTICS (ThuAmPO1)

Author(s) : Cees Snoek (University of Amsterdam, The Netherlands) Dennis Koelma (University of Amsterdam, The Netherlands) Jeroen van Rest (TNO, The Netherlands) Nellie Schipper (TNO, The Netherlands) Frank Seinstra (University of Amsterdam, The Netherlands) Andrew Thean (TNO, The Netherlands) Marcel Worring (University of Amsterdam, The Netherlands)

Abstract : 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.

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