Multiresolution Video Watermarking Algorithm Exploiting the Block-Based Motion Estimation

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.

Survey on Digital Video Watermarking

“…Existing approach include spatial domain, frequency domain, MPEG coding structure and neural network based techniques. Mostafa [5] has proposed novel technique for embedding a digital watermark into video frames based on motion vectors and discrete wavelet transform (DWT). The binary image watermark is divided into blocks and each watermark block is embedded several times in each selected video frame at different locations.…”