@ARTICLE{Brachmann2007,
  author = {Brachmann, Christoph and Chunpir, Hashim I. and Gennies, S. and Haller,
	B. and Hermes, Thorsten and Herzog, Otthein and Jacobs, Arne and
	Kehl, Philipp and Mochtarram, Astrid P. and M{\"o}hlmann, Daniel
	and Schrumpf, Christian and Schultz, C. and Stolper, B. and Walther-Franks,
	Benjamin},
  title = {Automatic Generation of Movie Trailers using Ontologies},
  journal = {IMAGE - Journal of Interdisciplinary Image Science},
  year = {2007},
  volume = {5},
  pages = {117--139},
  abstract = {With the advances in digital audio and video analysis, automatic movie
	summarization has become an important field of research. Much of
	the work has been put into movie abstracting for large media databases.
	Looking at the topic from a different side, the movie industry has
	long since perfected the art of summarization in their advertising
	trailers to attract an audience. In this paper we introduce the approach
	of automatically generating entertaining Hollywood-like trailers
	based on a trailer grammar, enhanced by an ontology. The extraction
	of features from movies using state-of-the-art image and audio processing
	techniques builds the foundation for the selection of meaningful
	and usable material, which is re-assembled according to the defined
	rules. User testing of our automatically produced trailers shows
	that they are well accepted and in many ways comparable to professionally
	composed trailers.},
  owner = {pmania},
  timestamp = {2012.11.06}
}