• DocumentCode
    3450013
  • Title

    Stochastic Video Signal´s Automatic Identification and Image Reproduction

  • Author

    Lin, Mingxiu ; Han, Guangliang

  • Author_Institution
    Northeastern Univ. Shenyang, Shenyang
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    2542
  • Lastpage
    2545
  • Abstract
    In order to realize the automatic extraction of stochastic signal´s horizontal synchronization frequency and the stable reproduction of video image, different image features of horizontal synchronization blanking signal under different deviation are analyzed, and spectrum analysis algorithm of horizontal synchronization frequency, texture feature extraction algorithm of slope image and phase feature extraction algorithm of drifting image are put forward. Based on the three algorithms, the hierarchical automatic recognition algorithm is put forward to automatically control the adjusting of the horizontal synchronization frequency and realize the reproduction. The algorithm was applied in the automatic interception system of computer video leaking information, and quick interception and stable reproduction of computer video leaking information were achieved.
  • Keywords
    feature extraction; image recognition; image texture; video signal processing; automatic interception system; computer video leaking information; hierarchical automatic recognition algorithm; horizontal synchronization frequency; image reproduction; phase feature extraction algorithm; spectrum analysis algorithm; stochastic video signal identification; texture feature extraction algorithm; Algorithm design and analysis; Blanking; Displays; Feature extraction; Frequency synchronization; Image analysis; Image texture analysis; Signal analysis; Signal processing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318870
  • Filename
    4318870