Detection of TV News Monologues by Style Analysis C. G. M. Snoek, M. Worring, A. G. Hauptmann In IEEE International Conference on Multimedia & Expo 2004. [bibtex] [pdf] [url]

We propose a method for detection of semantic concepts in produced video based on style analysis. Recognition of concepts is done by applying a classifier ensemble to the detected style elements. As a case study we present a method for detecting the concept of news subject monologues. Our approach had the best average precision performance amongst 26 submissions in the 2003 TRECVID benchmark.

@InProceedings{SnoekICME2004,
  author       = "Snoek, C. G. M. and Worring, M. and Hauptmann, A. G.",
  title        = "Detection of TV News Monologues by Style Analysis",
  booktitle    = "IEEE International Conference on Multimedia \& Expo",
  year         = "2004",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2004/SnoekICME2004",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2004/SnoekICME2004/SnoekICME2004.pdf",
  has_image    = 1
}