• DocumentCode
    1981684
  • Title

    Automatic image structure analysis

  • Author

    Wardhani, A.W. ; Gonzalez, R.

  • Author_Institution
    Sch. of Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
  • fYear
    1998
  • fDate
    28 Jun-1 Jul 1998
  • Firstpage
    180
  • Lastpage
    188
  • Abstract
    The rapid growth of multimedia technology has resulted in an enormous amount of data that needs to be managed and indexed efficiently. To provide effective labeling for an image indexing system requires all objects in the image to be identified. To perform better and effective object identification, the process needs to be performed automatically and without priori knowledge of the image content. We present an automatic object identification scheme, by analysing the image structural information. The image is segmented using automatic image segmentation techniques and components of objects are obtained by grouping the segments together. We present the issues and problems involved in providing such an identification scheme. Some experimental results are presented
  • Keywords
    image segmentation; indexing; multimedia computing; object recognition; visual databases; image content; image indexing system; image segmentation; image structural information; image structure analysis; labeling; multimedia; object identification; visual database; Electrical capacitance tomography; Image analysis; Image recognition; Image retrieval; Image segmentation; Indexing; Information technology; Labeling; Manuals; Multimedia systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems, 1998. Proceedings. IEEE International Conference on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-8557-3
  • Type

    conf

  • DOI
    10.1109/MMCS.1998.693637
  • Filename
    693637