@ARTICLE{Herzog1998b,
  author = {Herzog, Otthein and Miene, Andrea and Hermes, Thorsten and Alshuth,
	Peter},
  title = {Integrated Information Mining for Texts, Images, and Videos},
  journal = {Comput. {\&} Graphics},
  year = {1998},
  volume = {22},
  pages = {675--685},
  number = {6},
  abstract = {The large amount and the ubiquitous availability of multimedia information
	(e.g. video audio, image, and also text documents) require efficient,
	effective, and automatic annotation and retrieval methods. As videos
	start to play an even more important role in multimedia, content-based
	retrieval of videos becomes an issue, especially as ther should be
	an intergrated methodology for all types of multimedia documents.
	Our approach for the intergrated retrieval of videos, images, and
	text comprises three necessary steps: First, the detection and extraction
	of shot from a video, second, the construction of a still image from
	the frames in a shot. This is achieved by an extraction of key frames
	or a mosaicing technique. The result is a single image visualization
	of a shot, which in turn can be analyzed by the ImageMiner(TM) system.
	The ImageMiner system was developed in cooperation with IBM at the
	University of Bremen in the Image Processing Department of the Center
	for Computing Technologies. It realizes the content-based retrieval
	of single images through a novel combination of techniques and methods
	from computer vision and artificial intelligence. Its output is a
	textual description of an image, and thus in our case, of the static
	elements of a video shot. In this way, the annotations of a video
	can be indexed with standard text retrieval systems, along with text
	documents or annotations of other multimedia documents, thus ensuring
	an integrated interface for all kinds of multimedia documents.},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://www-agki.tzi.de/grp/ag-ki/download/1998/herzogetal98.pdf}
}