@INCOLLECTION{AMieneThHermes2003a,
  author = {Miene, Andrea and Herzog, Otthein and Ioannidis, George T.},
  title = {Automatic Shot Boundary Detection and Classification of Indoor and
	Outdoor Scenes},
  booktitle = {Information Technology: The 11th Text Retrieval Conference, TREC
	2002},
  publisher = {NIST - National Institut of Standards and Technology},
  year = {2003},
  editor = {Voorhees, E. M. and Buckland, L. P.},
  volume = {500-251},
  series = {NIST Special Publication},
  pages = {615--620},
  address = {Gaithersburg, MD},
  abstract = {This paper describes our contribution to the TREC 2002 video analysis
	track. We participated in the shot detection task and in the feature
	extraction task (features indoors and outdoors). The shot detection
	approach is based on histogram differences and uses adaptive thresholds.
	Multiple detected shot boundaries that follow each other within a
	short temporal interval are grouped together and classified as a
	gradual change beginning with the first and ending with the last
	shot boundary in the interval. For the feature extraction task we
	examined whether it is possible to classify indoor and outdoor shots
	by their color distribution. In order to analyze the color distribution
	we use first order statistical features. The shots are classified
	into indoor and outdoor shots using a neural net.},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www-agki.tzi.de/grp/ag-ki/download/2003/mieneetal03b.pdf}
}