• DocumentCode
    2962645
  • Title

    Program chairs´ introduction to the first international workshop on stochastic image grammars (SIG-09) in conjunction with IEEE CVPR 2009

  • Author

    Todorovic, Sinisa ; Song-Chun Zhu

  • Author_Institution
    Sch. of EECS, Oregon State Univ., Corvallis, OR, USA
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Abstract
    The major theme of the program is to identify challenges facing the work toward a unifying theoretical foundation of stochastic image grammars. The program has research topics that deals with stochastic image grammars. The topics include learning vocabularies of visual primitives and parts; hierarchical models of events, activities, and scenes; taxonomies and ontologies for activities; inference algorithm for image grammars; use of grammars for image parsing, and generating sentences of image interpretation; and image datasets and evaluating stochastic image grammars.
  • Keywords
    image processing; image grammar evaluation; image grammar theoretical foundation; image interpretation; image parsing; inference algorithm; stochastic image grammars; visual learning vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
  • Conference_Location
    Miami, FL
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-3994-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2009.5204339
  • Filename
    5204339