• DocumentCode
    327835
  • Title

    Pictorial query trees for query specification in image databases

  • Author

    Soffer, Aya ; Samet, Hanan ; Zotkin, Dmitry

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    919
  • Abstract
    A technique that enables specifying complex queries in image databases using pictorial query trees is presented. The leaves of a pictorial query tree correspond to individual pictorial queries that specify which objects should appear in the target images as well as how many occurrences of each object are required. In addition, the minimum required certainty of matching between query-image objects and database-image objects, as well as spatial constraints that specify bounds on the distance between objects and the relative direction between them are also specified. Internal nodes in the query tree represent logical operations (AND, OR, XOR) and their negations on the set of pictorial queries (or subtrees) represented by its children. The syntax of query trees is described. Algorithms for processing individual pictorial queries and for parsing and computing the overall result of a pictorial query tree are outlined
  • Keywords
    content-based retrieval; grammars; visual databases; complex queries; database-image objects; image databases; parsing; pictorial query trees; query specification; query-image objects; spatial constraints; syntax; Automation; Computer science; Database systems; Educational institutions; Electrical capacitance tomography; Image databases; Image matching; Postal services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711383
  • Filename
    711383