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.
Highlights
These days, the reproduction, manipulation, and distribution of the different digital multimedia and entertainment resources such as images, audio, and video via the internet become faster and easier
This paper presents a new uncompressed video watermarking algorithm which embeds different parts of a single watermark into different frames of a video using motion vectors and discrete wavelet transform (DWT)
The block diagrams of embedding and extraction algorithms are shown in Figure 2 and Figure 3 in proposed method, video frames are taken as an input, and the watermark is embedded in selected blocks with high motion vector magnitude by altering the wavelet coefficients of selected DWT sub-bands
Summary
These days, the reproduction, manipulation, and distribution of the different digital multimedia and entertainment resources such as images, audio, and video via the internet become faster and easier. Many research proposed different techniques for video watermark in compressed [6]-[8] and uncompressed domains [9] [10]. Zhongjie et al [12] proposed a technique in which the watermark information is embedded by changing the horizontal or vertical component of motion vectors. This scheme has low computational complexity and could be extracted blindly. This paper presents a new uncompressed video watermarking algorithm which embeds different parts of a single watermark into different frames of a video using motion vectors and DWT.
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