The MediaMill Semantic Video Search Engine M. Worring, C. G. M. Snoek, O. de Rooij, G. P. Nguyen, A. W. M. Smeulders In IEEE International Conference on Acoustics, Speech, and Signal Processing 2007. [bibtex] [pdf] [url]

In this paper we present the methods underlying the MediaMill semantic video search engine. The basis for the engine is a semantic indexing process which is currently based on a lexicon of 491 concept detectors. To support the user in navigating the collection, the system defines a visual similarity space, a semantic similarity space, a semantic thread space, and browsers to explore them. We compare the different browsers and their utility within the TRECVID benchmark. In 2005, We obtained a top-3 result for 19 out of 24 search topics. In 2006 for 14 out of 24.

@InProceedings{WorringICASSP2007,
  author       = "Worring, M. and Snoek, C. G. M. and de Rooij, O. and Nguyen, G. P.
                  and Smeulders, A. W. M.",
  title        = "The MediaMill Semantic Video Search Engine",
  booktitle    = "IEEE International Conference on Acoustics, Speech, and Signal Processing",
  volume       = "4",
  pages        = "1213--1216",
  year         = "2007",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2007/WorringICASSP2007",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2007/WorringICASSP2007/WorringICASSP2007.pdf",
  has_image    = 1
}