Publication Type : Conference Proceedings
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR
Source : Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR,
Url : https://ieeexplore.ieee.org/document/6575985
Campus : Coimbatore
School : School of Engineering
Center : Center for Computational Engineering and Networking, Computational Engineering and Networking
Department : Electronics and Communication
Year : 2013
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 L 1 optimization for retrieval of watermark. Experimental results show that proposed method enhances the security of the ownership information embedded.
Cite this Research Publication : Jyothish Lal G., Dr. Soman K. P., and V. K. Veena, “A cryptographic approach to video watermarking based on compressive sensing, arnold transform, sum of absolute deviation and SVD”, Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR. p. 1,5, 2013.