• DocumentCode
    2835438
  • Title

    Fast Text Registration and Enhancement in Digital Video

  • Author

    Hui, Ding ; Xiao-qing, Ding ; Sheng-jin, Wang

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    884
  • Lastpage
    888
  • Abstract
    This paper addresses a fast and reliable video text registration and enhancement algorithm suitable to tracking text and optical character recognition (OCR). The fast registration algorithm based on the normalized cross-correlation and pyramid structure in a coarse-to-fine scheme. After extracting reference text block, we use the text registration method to find the corresponding text blocks in next consecutive frames. By using intensity-hue-saturation (IHS) fusion method to enhance text block. This proposed algorithm working with rectangular sub-images, which obtained by down-sampling the frames at different levels of the pyramid, the speed of the algorithm can be increased. We have tested our match algorithm in a large set of experiments with video clips recorded from television and achieved good matching results.
  • Keywords
    feature extraction; image colour analysis; image enhancement; image registration; optical character recognition; optical tracking; text analysis; video signal processing; digital video; intensity-hue-saturation fusion; optical character recognition; reference text block extraction; text tracking; video text enhancement; video text registration; Computer science; Data mining; Feature extraction; Information science; Information technology; Intelligent systems; Laboratories; Optical character recognition software; Text recognition; Videoconference; IHS conversion; Pyramid down-sampling; Video text enhancement; Video text matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.150
  • Filename
    4624994