@INPROCEEDINGS{Kreyss,
  author = {Krey{\ss}, Jutta and R{\"o}per, Michael and Alshuth, Peter and Hermes,
	Thorsten and Herzog, Otthein},
  title = {Video Retrieval by Still Image Analysis with ImageMiner},
  booktitle = {IS{\&}T/SPIE Symposium on Electronical Imaging Sciene {\&} Technology
	(Storage and Retrieval for Images and Video Databases)},
  year = {1997},
  pages = {236--247},
  month = {February8--4},
  abstract = {The large amount of available multimedia information (e.g. videos,
	audio, images) requires efficient and effective annotation and retrieval
	methods. As videos start playing a more important role in the frame
	of multimedia, we want to make these available for content-based
	retrieval. The ImageMiner-System, which was developed at the University
	of Bremen in the AI group, is designed for content-based retrieval
	of single images by a new combination of techniques and methods from
	computer vision and artificial intelligence. In our approach to make
	videos available for retrieval in a large database of videos and
	images there are two necessary steps: First, the detection and extraction
	of shots from a video, which is done by a histogram based method
	and second, the construction of the separate frames in a shot to
	one still single image. This is performed by a it mosaicing-technique.
	The resulting mosaiced image gives a one image visualization of the
	shot and can be analyzed by the the ImageMiner-System. ImageMiner
	has been tested on several domains, (e.g. landscape images, technical
	drawings), which cover a wide range of applications.},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www-agki.tzi.de/grp/ag-ki/download/1997/kreyssetal97.pdf}
}