Wassermann, J. (2013) New Robust Video Watermarking Techniques Based on DWT Transform and Spread Spectrum of Basis Images of 2D Hadamard Transform. In: Dziech, A. and Czyzewski, A., Eds., Multimedia Communications, Services and Security, Springer, Berlin, Heidelberg, 298-308.
http://dx.doi.org/10.1007/978-3-642-38559-9_26

has been cited by the following article:

• TITLE: Multiresolution Video Watermarking Algorithm Exploiting the Block-Based Motion Estimation

  AUTHORS: Salwa A. K. Mostafa, Abdelrahman Ali

  KEYWORDS: Digital Video Watermarking, Wavelet Transform, Motion Vector, Motion Estimation, Video Frame

  JOURNAL NAME: Journal of Information Security, Vol.7 No.4, July 20, 2016

  ABSTRACT: This paper presents a novel technique for embedding a digital watermark into video frames based on motion vectors and discrete wavelet transform (DWT). In the proposed scheme, the binary image watermark is divided into blocks and each watermark block is embedded several times in each selected video frame at different locations. The block-based motion estimation algorithm is used to select the video frame blocks having the greatest motion vectors magnitude. The DWT is applied to the selected frame blocks, and then, the watermark block is hidden into these blocks by modifying the coefficients of the Horizontal sub-bands (HL). Adding the watermark at different locations in the same video frame makes the scheme more robust against different types of attacks. The method was tested on different types of videos. The average peak signal to noise ratio (PSNR) and the normalized correlation (NC) are used to measure the performance of the proposed method. Experimental results show that the proposed algorithm does not affect the visual quality of video frames and the scheme is robust against a variety of attacks.