• DocumentCode
    3368714
  • Title

    Video Fogging Hiding Algorithm Based on Fog Theory

  • Author

    Yi Yang ; Sen Bai ; Yu Guo ; Jian-bo Tang

  • Author_Institution
    Dept. of Inf. Eng., Chongqing Commun. Inst., Chongqing, China
  • fYear
    2013
  • fDate
    14-15 Dec. 2013
  • Firstpage
    503
  • Lastpage
    507
  • Abstract
    Multimedia data security is becoming important with the continuous increase of digital communications on Internet. The encryption algorithms developed to secure text data are not suitable for multimedia application because of the large data size. This paper proposes a novel video fogging hiding algorithm based on fog theory. Firstly, the original video is divided into frame sequences, and every frame is processed as the following steps. Secondly, the frame is segmented into three regions, and the segmentation is filtered by Butter worth low-pass filter to get thin fog veil. Then the thin fog veil and the original frame are fused together to get thin fogged frame. Furthermore, heavy fog veil is selected and added to the thin fogged frame. Finally the fogged video can be got by some related process. The original video can be restored by using inverse operation on fogged video. Experimental results show that the proposed algorithm can hide the sensitive target in video effectively and improve the security of it.
  • Keywords
    Butterworth filters; cryptography; low-pass filters; multimedia computing; video coding; Butterworth low-pass filter; digital communications; encryption algorithms; fog theory; frame sequences; multimedia application; multimedia data security; sensitive target; text data; thin fog veil; thin fogged frame; video fogging hiding algorithm; Containers; Decoding; Delays; Image restoration; PSNR; Security; Video coding; Fog Theory; Fogging; Hiding; Sensitive Target Hiding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2013 9th International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4799-2548-3
  • Type

    conf

  • DOI
    10.1109/CIS.2013.112
  • Filename
    6746448