• DocumentCode
    2051868
  • Title

    YACBIR: Yet Another Content Based Image Retrieval System

  • Author

    Ait-Aoudia, Samy ; Mahiou, Ramdane ; Benzaid, Billel

  • Author_Institution
    ESI Ecole Nat. Super. en Inf., Algiers, Algeria
  • fYear
    2010
  • fDate
    26-29 July 2010
  • Firstpage
    570
  • Lastpage
    575
  • Abstract
    Vision is central in human perception. Images are everywhere. Real life applications produce and use huge amounts of different types images. Retrieving an image having some characteristics in a big database is a crucial task. We need then mechanisms for indexing and retrieving images. CBIR (Content Based Image Retrieval) systems perform these tasks by indexing images using the physical characteristics automatically extracted and searching by an image query. We will present a CBIR system named YACBIR (Yet Another CBIR) that combines several properties (color, texture and points of interest) extracted automatically to index and retrieve images.
  • Keywords
    content-based retrieval; image colour analysis; image retrieval; image texture; indexing; feature extraction; human perception; image color; image query; image texture; indexing; points of interest; yet another content based image retrieval system; Image color analysis; Image retrieval; Indexing; Shape measurement; Visualization; Weight measurement; CBIR (Content Based Image Retrieval) system; Indexing Images; Retrieving Images; Similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2010 14th International Conference
  • Conference_Location
    London
  • ISSN
    1550-6037
  • Print_ISBN
    978-1-4244-7846-0
  • Type

    conf

  • DOI
    10.1109/IV.2010.83
  • Filename
    5571134