• DocumentCode
    2126561
  • Title

    Fast wavelet histogram techniques for image indexing

  • Author

    Mandal, M.K. ; Aboulnasr, T. ; Panchanathan, S.

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
  • fYear
    1998
  • fDate
    35967
  • Firstpage
    68
  • Lastpage
    72
  • Abstract
    Image histograms have become very popular in image and video indexing applications because of their low complexity. However, histogram-based techniques are not efficient in retrieving texture images. A histogram technique that exploits the directional properties of a wavelet transform has been proposed in the literature. Although, this technique provides good retrieval performance for texture images, its complexity is very high. We propose fast wavelet histogram techniques that provide superior performance at a substantially reduced complexity
  • Keywords
    computational complexity; database theory; indexing; query processing; software performance evaluation; visual databases; wavelet transforms; Image histograms; complexity; fast wavelet histogram techniques; image indexing; image retrieval performance; texture image retrieval; video indexing; wavelet transform; Band pass filters; Discrete wavelet transforms; Histograms; Image databases; Image retrieval; Image storage; Image texture analysis; Indexing; Spatial databases; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Access of Image and Video Libraries, 1998. Proceedings. IEEE Workshop on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8544-1
  • Type

    conf

  • DOI
    10.1109/IVL.1998.694498
  • Filename
    694498