• DocumentCode
    3141031
  • Title

    New use for the pen: outline-based image queries

  • Author

    Schomaker, Lambert ; Vuurpijl, Louis ; de Leau, Edward

  • Author_Institution
    Nijmegen Univ., Netherlands
  • fYear
    1999
  • fDate
    20-22 Sep 1999
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    A method for image-based queries and search is proposed which is based on the generation of object outlines in images by using the pen, e.g., on color pen computers. By exploiting the actual presence of the human users with their perceptual-motor abilities and by storing textually annotated queries, an incrementally learning image retrieval system can be developed. As an initial test domain, sets of photographs of motor bicycles were used. Classification performances are given for outline and bitmap-derived feature sets, based on nearest-neighbour matching, with promising results. The next step is to use outlines for edge matching in raw, non-annotated images, for which preliminary results are presented. The benefit of the approach will be a user-based multimodal annotation of image database, yielding a gradual improvement in performance over time
  • Keywords
    image classification; image retrieval; notebook computers; visual databases; bitmap-derived feature sets; classification performances; color pen computers; edge matching; image database; image retrieval system; nearest-neighbour matching; object outlines; outline-based image queries; perceptual-motor abilities; textually annotated queries; user-based multimodal annotation; Bicycles; Content based retrieval; Focusing; Humans; Image databases; Image retrieval; Information retrieval; Pattern recognition; Spatial databases; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    0-7695-0318-7
  • Type

    conf

  • DOI
    10.1109/ICDAR.1999.791782
  • Filename
    791782