• DocumentCode
    2448310
  • Title

    Image retrieval using re-segmentation driven by query rectangles

  • Author

    Cinque, L. ; De Rosa, F. ; Lecca, F. ; Levialdi, S. ; Tanimoto, S.

  • Author_Institution
    Dip. di Sci. dell´´Informazione, Rome Univ., Italy
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    142
  • Abstract
    In this paper we address two key issues in image retrieval: (1) the use of rectangles in queries to express properties of regions in the desired target images; and (2) the use of over-segmentation to build the index of images in the database. In our method, the rectangles in the user´s query are used to control a partial re-segmentation of each candidate image. These query-driven partial re-segmentations provide the features for determining the distance between the query and each candidate, so that the closest candidates can be determined and retrieved. This method enables the construction of image retrieval systems with completely automatic indexing.
  • Keywords
    database indexing; image retrieval; image segmentation; query processing; visual databases; image database; image query; image retrieval; indexing; over segmentation; query processing; Content based retrieval; Data engineering; Image databases; Image retrieval; Image segmentation; Indexes; Information retrieval; Remuneration; Shape; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1047419
  • Filename
    1047419