@INPROCEEDINGS{Jacobsa,
  author = {Jacobs, Arne and Miene, Andrea and Ioannidis, George T. and Herzog,
	Otthein},
  title = {Automatic shot boundary detection combining color, edge, and motion
	features of adjacent frames},
  booktitle = {TRECVID 2004 Workshop Notebook Papers},
  year = {2004},
  pages = {197--206},
  address = {Gaithersburg, Maryland, USA},
  month = {November},
  publisher = {National Institute of Standards and Technology},
  abstract = {This paper describes the contribution of the Center of Computing Technologies
	(TZI), University of Bremen, Germany, to the shot detection task
	of the TREC 2004 video analysis track (TRECVID). The approach uses
	RGB histogram values which are calculated within a five frames width
	window and the edge change ratio between consecutive frames as well
	as frames at a distance of 10. Both methods are used to detect hard
	cut candidates. To confirm or reject the hard cut candidates a block-based
	motion analysis is used. Gradual transitions are also detected using
	RGB histogram values together with a finite state machine.},
  owner = {pmania},
  timestamp = {2012.11.06}
}