@INPROCEEDINGS{vonWenzlawowicz2012,
  author = {von Wenzlawowicz, Till and Herzog, Otthein},
  title = {Semantic Video Abstracting: Automatic Generation of Movie Trailers
	Based on Video Patterns},
  booktitle = {SETN2012},
  year = {2012},
  editor = {Maglogiannis, Ilias and Plagianakos, Vassilis and Vlahavas, Ioannis},
  volume = {7297},
  series = {Lecture Notes in Computer Science},
  pages = {345--352},
  address = {Lamia},
  month = {May28--31},
  publisher = {Springer},
  note = {Summarizing and abstracting of multimedia data is a field of great
	research interest, especially for multiple video platforms. In this
	paper we describe a system capable of generating Hollywood movie
	trailers automatically by using audio and video processing algorithms,
	combined with ontology-based knowledge and CLIPS, a rule based system.
	We show that the system is capable of generating convincing movie
	trailers for the action genre. Further work has been done to extend
	the results to other movie genres.},
  doi = {10.1007/978-3-642-30448-4{\_}44},
  isbn = {978-3-642-30447-7},
  keywords = {Knowledge Management,authoring\textbackslash{\_}system,digital media,graduate
	school digital media,image analysis,audio,image classification,video
	abstracting,video analysis},
  owner = {pmania},
  timestamp = {2012.11.06},
  url = {http://dx.doi.org/10.1007/978-3-642-30448-4{\_}44}
}