• DocumentCode
    2952529
  • Title

    Shape-Based Visual Query Rewriting

  • Author

    Chalhoub, Georges ; Chbeir, Richard ; Yetongnon, Kokou

  • Author_Institution
    Comput. Sci. Dept., Bourgogne Univ., Dijon
  • fYear
    2006
  • fDate
    9-12 July 2006
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    A visual query is based on pictorial representation of conceptual entities and operations. One of the most important features used in visual queries is the shape. Despite its intuitive writing, a shape-based visual query usually suffers of a complexity processing related to two major parameters: 1-the imprecise user request, 2-shapes may undergo several types of transformation. Several methods are provided in the literature to assist the user during query writing. In this paper, we present a new cooperative approach based on the shape neighborhood concept allowing the user to rewrite a shape-based visual query according to his preferences with high flexibility in terms of including (or excluding) only some shape transformations and of result sorting
  • Keywords
    image retrieval; query processing; visual databases; visual languages; complexity processing; pictorial representation; shape-based visual query rewriting; Computer science; Feedback; Formal languages; Image databases; Image retrieval; Shape measurement; Sorting; Visual databases; Visualization; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2006 IEEE International Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0366-7
  • Electronic_ISBN
    1-4244-0367-7
  • Type

    conf

  • DOI
    10.1109/ICME.2006.262518
  • Filename
    4036618