• DocumentCode
    2309057
  • Title

    Describing images via linguistic features and hierarchical segmentation

  • Author

    Castillo-Ortega, R. ; Chamorro-Martínez, J. ; Marín, N. ; Sánchez, D. ; Soto-Hidalgo, J.M.

  • Author_Institution
    Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper we introduce a preliminary proposal for linguistic description of images. The approach is based on i) a hierarchical fuzzy segmentation of the image, ii) a collection of linguistic features describing each region, and iii) fuzzy spatial relations and locations. The procedure is independent from the way these elements have been obtained, and provides a description with the characteristics of a summary, i.e., a brief and accurate description of the whole image. As another characteristic of summaries, the method can be guided in the description by the user´s preferences and interest. Remarkably, we are able to provide a description containing sentences about disjoint regions appearing in different levels of detail.
  • Keywords
    feature extraction; image segmentation; fuzzy spatial locations; fuzzy spatial relations; hierarchical fuzzy segmentation; image description; linguistic features; user interest; user preferences; Color; Image color analysis; Image edge detection; Image segmentation; Pixel; Pragmatics; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584443
  • Filename
    5584443