• DocumentCode
    628789
  • Title

    A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD

  • Author

    Jyothish, Lal G. ; Veena, V.K. ; Soman, K.P.

  • Author_Institution
    Centre For Excellence in Comput. Eng. & Networking, Amrita Vishwa Vidyapeetham, Coimbatore, India
  • fYear
    2013
  • fDate
    4-6 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Video watermarking is relatively a new technology to ensure protection of intellectual property rights and to stop video piracy. The ownership information or watermark is normally hidden in the video sequences. In this paper, a novel video watermarking method is proposed to protect the ownership information in a robust way. This method encrypts the watermark by combining the strengths of Compressive Sensing and Arnold scrambling. The frames for watermark embedding are chosen by computing the Sum of Absolute Deviation between successive frames. The cipher watermark is then embedded into chosen frames based on SVD watermark embedding algorithm. The decryption stage performs SVD watermark extraction algorithm, Arnold inverse transform and L1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded.
  • Keywords
    compressed sensing; cryptography; singular value decomposition; video watermarking; Arnold inverse transform; Arnold scrambling; SVD watermark embedding algorithm; cipher watermark; compressive sensing; cryptographic approach; encryption; sum of absolute deviation; video sequence; video watermarking method; Ciphers; Compressed sensing; Encryption; Receivers; Transforms; Watermarking; Arnold scrambling Method; Compressive Sensing (CS); Cryptography; SVD based watermarking; Sum of Absolute Deviation (SAD); Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013 Annual International Conference on
  • Conference_Location
    Kanjirapally
  • Print_ISBN
    978-1-4673-5150-8
  • Type

    conf

  • DOI
    10.1109/AICERA-ICMiCR.2013.6575985
  • Filename
    6575985