• DocumentCode
    2323693
  • Title

    Semi-automatic BPT for Image Retrieval

  • Author

    Ghanbari, Shirin ; Woods, John C. ; Lucas, Simon M.

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    33
  • Lastpage
    37
  • Abstract
    This paper presents a novel semi-automatic tool for content retrieval. A multidimension binary partition tree (BPT) is generated to perform object based image retrieval. The tree is colour based but has the advantage of incorporating spatial frequency to form semantically meaningful tree nodes. For retrieval, a node of the query image is matched against the nodes of the BPT of the database image. These are matched according to a combination of colour histograms, texture features and edge histograms. This semi-automatic tool allows users to have more freedom in their choice of query. The paper illustrates how the use of multidimensional information can significantly enhance content retrieval results for natural images.
  • Keywords
    content-based retrieval; image colour analysis; image retrieval; image texture; visual databases; colour histograms; database image; edge histograms; image enhancement; image retrieval; multidimension binary partition tree; query image; texture features; tree nodes; Content based retrieval; Data mining; Frequency; Histograms; Humans; Image databases; Image retrieval; Image segmentation; Information retrieval; Merging; binary partition tree; image retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Multimedia Indexing, 2009. CBMI '09. Seventh International Workshop on
  • Conference_Location
    Chania
  • Print_ISBN
    978-1-4244-4265-2
  • Electronic_ISBN
    978-0-7695-3662-0
  • Type

    conf

  • DOI
    10.1109/CBMI.2009.17
  • Filename
    5137812