• DocumentCode
    3580586
  • Title

    A Multi Phase Model to Improve Video Steganography

  • Author

    Seema ; Chaudhary, Jyoti

  • Author_Institution
    Technol. Inst. Of Textile & Sci., Bhiwani, India
  • fYear
    2014
  • Firstpage
    725
  • Lastpage
    729
  • Abstract
    Steganography in multimedia object improves the information security during communication. An analysis approach with effective frame selection, partial information storage per frame and referenced mask based embedding is suggested to improve the steganograhy process in video objects. Three step process is espoused to amend the security of video object which is as under mentioned. In first stage, the effective frame selection analysis is performed using entropy method on which the information hiding is effective. The frame analysis is performed based on content level analysis. The adaptive mask over the frame is identified using frequency based analysis over the image in second stage. At third level, LSB approach is applied over the mask to perform information embedding. The work is applied on real time images. The obtained result shows the effective information storage with high PSNR ratio.
  • Keywords
    information storage; mean square error methods; steganography; video signal processing; LSB approach; content level analysis; effective frame selection analysis; entropy method; high PSNR ratio; information embedding; information hiding; information security; mean square error; multiple phase model; partial information storage; referenced mask based embedding; video object security; video steganography improvement; Entropy; Image coding; Image color analysis; Information security; Multimedia communication; PSNR; Streaming media; Block; Frame; MSE; PSNR; Pixels; Video Steganography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.158
  • Filename
    7065578