@techreport{TR-IC-11-06,
   number = {IC-11-06},
   author  =  {Jurandy Almeida and Sheila M. Pinto Cáceres and Ricardo
                   da S. Torres and Neucimar J. Leite},
   title = {Intuitive Video Browsing Along Hierarchical Trees},
   month = {March},
   year = {2011},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 12 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Recent  advances  in technology have increased the availability
       of  video  data,  creating  a  strong requirement for efficient
       systems  to  manage  those  materials.  Making efficient use of
       video   information   requires  that  data  be  accessed  in  a 
       user-friendly  way.  Ideally,  one  would like to perform video
       search  using  an intuitive tool. Most of existing browsers for
       the  interactive  search  of  video  sequences,  however,  have 
       employed a too rigid layout to arrange the results, restricting
       users to explore the results using list- or grid-based layouts.
       In  this paper, we present a novel approach for the interactive
       search  that  displays the result set in a flexible manner. The
       proposed  method  is  based  on a hierarchical structure called
       Divisive-Agglomerative  Hierarchical  Clustering  (DAHC). It is
       able  to  group  together  videos  with  similar content and to
       organize  the  result set in a well-defined tree. This strategy
       makes the navigation more coherent and engaging to users.
  }
}