• DocumentCode
    2630456
  • Title

    An algorithm for content-based retrieval in multimedia databases

  • Author

    Gudivada, Venkat N. ; Jung, Gwang S.

  • Author_Institution
    Sch. of Electr. Eng & Comput. Sci., Ohio Univ., Athens, OH, USA
  • fYear
    1996
  • fDate
    17-23 Jun 1996
  • Firstpage
    193
  • Lastpage
    200
  • Abstract
    Proposes a linear-time algorithm, referred to as SIMvs, for processing spatial similarity queries in multimedia databases. SIM vs computes the degree to which the spatial relationships among the objects in a database image conform to those specified in the query. SIMvs recognizes translation, scale and rotation variants of an image, and variants generated by an arbitrary composition of translation, scale and rotation transformations. The performance of SIMvs is compared with those of two previously-known algorithms using a testbed image collection. This comparison demonstrates that SIMvs is not only more efficient but performs as well as or better than the other algorithms
  • Keywords
    database theory; multimedia computing; query processing; software performance evaluation; visual databases; SIMvs algorithm; content-based retrieval; database image objects; linear-time algorithm; multimedia databases; performance; rotation variants; scale variants; spatial relationships; spatial similarity query processing; spatial transformation composition; testbed image collection; translation variants; Content based retrieval; Floors; Graphics; Image databases; Image generation; Image retrieval; Information retrieval; Multimedia databases; Multimedia systems; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1996., Proceedings of the Third IEEE International Conference on
  • Conference_Location
    Hiroshima
  • Print_ISBN
    0-8186-7438-5
  • Type

    conf

  • DOI
    10.1109/MMCS.1996.534974
  • Filename
    534974