@techreport{TR-IC-03-13,
  number = {IC-03-13},
  author = {Silvio J. F. Guimarães and Neucimar J. Leite and Michel Couprie and
            Arnaldo de A. Araújo},
  title = {Identification of video transitions by multi-scale gradient analysis},
  month = {May},
  year = {2003}, 
  institution = {Institute of Computing, University of Campinas},
  note = {In English, 18 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The video segmentation problem consists in the identification
       of boundaries between two consecutive shots. These boundaries
       can be subdivided in cut and gradual transitions. The first one
       is characterized by a concatenation of two shots and the second
       one corresponds to the gradual transformation of a shot into
       another. The simplest gradual transitions are fade and
       dissolve. The common approach to solve the identification
       problem of these features in a video is based on dissimilarity
       measures between frames. The possibility of representing the
       video transitions by specific patterns in a 2D image, called
       visual rhythm, and to apply image processing tools on this
       image is an interesting alternative to cope with this
       problem. In this work, we consider the morphological
       multi-scale gradient operators to identify cut and gradual
       transitions at the same time on the visual rhythm
       representation. Three different morphological operators are
       considered: a multi-scale gradient proposed by Soille and two
       variants of this operation based on ultimate erosion and
       thinning concepts. Also, the Canny's filter is used to compute
       the gradient values.
  }
}