• DocumentCode
    2870413
  • Title

    Extraction of relevant information from document images using measures of visual attention

  • Author

    Maderlechner, Gerd ; Schreyer, Angela ; Suda, Peter

  • Author_Institution
    Corp. Technol., Siemens AG, Munich, Germany
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    385
  • Abstract
    This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as texture in different resolution levels. A new measure of attractiveness is introduced. The segmentation is generic and not limited to specific document classes and models. The resulting regions of interest may be used for further interpretation. The overall speed of browsing and searching large volumes of scanned documents can be increased considerably
  • Keywords
    document image processing; image segmentation; attention based layout segmentation; attractiveness measures; browsing speed; document images; generic image segmentation; human visual perception; relevant information extraction; scanned document searching speed; visual attention measures; Data mining; Graphics; Humans; Layout; Psychology; Size measurement; Space technology; Streaming media; Visual perception; White spaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.902939
  • Filename
    902939