• DocumentCode
    698941
  • Title

    An Efficient Indexing Algorithm for CBIR

  • Author

    Rahmani, Md Khalid Imam ; Ansari, M.A. ; Goel, Amit Kumar

  • Author_Institution
    Deptt. of Comput. Sc. & Eng., Mewar Univ., Chittorgarh, India
  • fYear
    2015
  • fDate
    13-14 Feb. 2015
  • Firstpage
    73
  • Lastpage
    77
  • Abstract
    Due to the continuous development of high quality multimedia technologies and rapid growth in the computational power along with availability of huge sized storage devices, digital image archives of very large size are being created day by day on the ever growing WWW through many commercial, research & development and academic web sites. The bulk of digitized images over the Internet are attracting significant research efforts for the development of tools to manage the visual data with their fast and effective retrieval. Towards the beginning of the previous decade, the breakthrough techniques called content based image retrieval has emerged in image retrieval field. This technique uses the contents of the image data for segmenting, indexing, retrieval and searching of relevant images from image repository. This paper mainly concentrates on the indexing phase of the image retrieval system for development of an efficient indexing algorithm of CBIR systems.
  • Keywords
    Internet; Web sites; content-based retrieval; image retrieval; image segmentation; indexing; multimedia systems; CBIR; Internet; WWW; academic Web sites; content based image retrieval; digital image archives; image indexing; image repository; image searching; image segmentation; indexing algorithm; multimedia technologies; storage devices; visual data management; Feature extraction; Image color analysis; Image retrieval; Indexing; Semantics; Vectors; CBIR; Image Indexing; Image Retrieval; Indexing Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
  • Conference_Location
    Ghaziabad
  • Print_ISBN
    978-1-4799-6022-4
  • Type

    conf

  • DOI
    10.1109/CICT.2015.165
  • Filename
    7078670