What is MediaMill?

The MediaMill semantic video search engine is bridging the gap between research and applications. It integrates the state-of-the-art techniques developed at the Intelligent Systems Lab Amsterdam of the University of Amsterdam and applies it to realistic problems in video retrieval.

The techniques employed in MediaMill originate from various disciplines such as image and video processing, computer vision, language technology, machine learning and information visualization. To ensure state-of-the-art competitiveness, MediaMill participates in the yearly TRECVID benchmark.

MediaMill has its roots in the ICES-KIS Multimedia Information Analysis project (in conjunction with TNO) and the Innovative Research Program for Image processing (IOP). It blossomed in the BSIK program MultimediaN and the EU FP-6 program VIDI-Video. MediaMill currently plays an important role in the Dutch VENI SEARCHER project, the Dutch/Flemish IM-Pact BeeldCanon project, the Dutch FES COMMIT program, and the US IARPA SESAME project.

Latest News

  1. The slides from the ACM Multimedia 2011 tutorial on Internet Video Search download pdf by Cees Snoek and Arnold Smeulders are available for download.
    November 29, 2011.
  2. We are hiring PhD students and Post-docs on Precise Visual Event Recognition, Precise Video Event Retrieval, and Efficient Spatio-Temporal Video Search. Contact dr. Cees Snoek for details.
    November 13, 2010.
  3. The slides from the ACM Multimedia 2010 tutorial on Video Search Engines download pdf by Cees Snoek and Arnold Smeulders are available for download.
    November 3, 2010.
  4. The slides from the CVPR 2010 tutorial on Video Search Engines download pdf by Cees Snoek and Arnold Smeulders are available for download.
    June 13, 2010.
  5. The slides from our Intermedia Summer School tutorial on Interactive Search in Large Video Collections download pdf are available for download.
    May 28, 2010.
  6. Cees Snoek releases Pinkpop video search engine, in collaboration with Beeld en Geluid, CWI, UTwente, and Video Dock.
    December 2, 2009.
  7. The slides from our ICCV tutorial on Coloring Visual Search download pdf are available for download.
    October 4, 2009.
  8. Review paper on concept-based video retrieval, covering more than 300 references, now available download pdf.
    July 15, 2009.