On the Surplus Value of Semantic Video Analysis Beyond the Key Frame C. G. M. Snoek, M. Worring, J. M. Geusebroek, D. C. Koelma, F. J. Seinstra In IEEE International Conference on Multimedia & Expo 2005. [bibtex] [pdf] [url]

Typical semantic video analysis methods aim for classification of camera shots based on extracted features from a single key frame only. In this paper, we sketch a video analysis scenario and evaluate the benefit of analysis beyond the key frame for semantic concept detection performance. We developed detectors for a lexicon of 26 concepts, and evaluated their performance on 120 hours of video data. Results show that, on average, detection performance can increase with almost 40% when the analysis method takes more visual content into account.

@InProceedings{SnoekICME2005,
  author       = "Snoek, C. G. M. and Worring, M. and Geusebroek, J. M. and Koelma, D. C.
                  and Seinstra, F. J.",
  title        = "On the Surplus Value of Semantic Video Analysis Beyond the Key Frame",
  booktitle    = "IEEE International Conference on Multimedia \& Expo",
  year         = "2005",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2005/SnoekICME2005",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2005/SnoekICME2005/SnoekICME2005.pdf",
  has_image    = 1
}