• DocumentCode
    2607947
  • Title

    Content-Based Image Retrieval: on the Way to Object Features

  • Author

    Zlatoff, Nicolas ; Ryder, Guillaume ; Tellez, Bruno ; Baskurt, Atilla

  • Author_Institution
    LIRIS-UMR, CNRS, Villeurbanne
  • Volume
    4
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    153
  • Lastpage
    156
  • Abstract
    Content-based systems retrieve images based on low-level features (color, texture) while the user usually seeks some objects from real world. As segmentation is never accurate, such systems do not allow the use of powerful feature during retrieval (shape, structure). We propose a new system that relies on a hierarchy of segmentations, in order to handle some artifacts. Besides, it allows using some object-related features for indexing (shape, structure). We also present some result on a 600 images database from Corel
  • Keywords
    content-based retrieval; image retrieval; image segmentation; content-based image retrieval; content-based system; image indexing; object feature; object-related feature; segmentation hierarchy; Bridges; Content based retrieval; Data mining; Feature extraction; Histograms; Image databases; Image retrieval; Image segmentation; Indexing; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.409
  • Filename
    1699804