@TechReport{TR109,
  author =	 "Axel Pinz and Horst Bischof and Walter Kropatsch and
                  Gerald Schweighofer and Yll Haxhimusa and Andreas
                  Opelt and Adrian Ion",
  title =	 "Representations for Cognitive Vision: A Review of
                  Appearance-Based, Spatio-Temporal, and Graph-Based
                  Approaches",
  institution =	 "PRIP, TU Wien and EMT, TU Graz",
  number =	 "PRIP-TR-109",
  year =	 "2006",
  url =		 "https://www.prip.tuwien.ac.at/pripfiles/trs/tr109.pdf",
  abstract =	 "The emerging discipline of cognitive vision requires
                  a proper representation of visual information
                  including spatial and temporal relationships,
                  scenes, events, semantics and context. The goal of
                  this review article is to summarize existing
                  representational schemes which might be useful for
                  cognitive vision, and to discuss promising future
                  research directions. We structure the various
                  approaches into appearance-based, spatio-temporal
                  and graph-based representations for cognitive
                  vision. The representation of objects has been
                  covered extensively in computer vision research,
                  both from a reconstruction as well as from a
                  recognition point of view. Cognitive vision,
                  however, will also require new ideas how to
                  represent scenes. We introduce new concepts for
                  scene representations and discuss how these might be
                  efficiently implemented in future cognitive vision
                  systems..",
}