• DocumentCode
    3129405
  • Title

    Processing of visual binary data in the compressed domain using generalised finite transducers

  • Author

    Makarov, Alexander ; Moniri, Mansour

  • Author_Institution
    Sch. of Eng. & Adv. Technol., Staffordshire Univ., Stafford, UK
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    64
  • Lastpage
    67
  • Abstract
    The paper investigates compressed domain processing of binary visual data, namely binary images and binary shape masks. Generalised finite transducers are used for manipulation of binary images and shape masks. The experimental results are presented that show the gain in speed when processing visual data in the compressed form. Moreover, no quality loss occurs when visual data is processed in this way. Finally, the potential applications of this technique are suggested and shortcomings are discussed
  • Keywords
    data compression; image coding; transducers; binary images; binary shape masks; binary visual data; compressed domain processing; generalised finite transducers; quality loss; shape masks; visual binary data processing; Automata; Data engineering; Image coding; MPEG 4 Standard; Pixel; Shape; Standards development; Transducers; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    962-85766-2-3
  • Type

    conf

  • DOI
    10.1109/ISIMP.2001.925332
  • Filename
    925332