A Hybrid Watermarking Model for Video Authentication

Digital Watermarking is a process of embedding information in the multimedia content (host or cover image) for image authentication. An ideal watermarking system would embed an amount of information that could not be removed or altered without making the cover object entirely unusable. Over the past few years digital watermarking has become popular due to its significance in content authentication and legal ownership for digital multimedia data. A digital watermark is a sequence of information containing the owner's copyright. It is inserted invisibly in another image so that it can be extracted at later times for the evidence of rightful ownership. Available digital watermarking techniques can be categorized into one of the two domains, viz., spatial and transform, according to the embedding domain of the host image. Based on these domains digital watermarking can be done by FFT, DCT, DWT, SVD. The analysis proves that the proposed DWT-SVD hybrid model is much more superior to other models as it is found to be more robust and effective. The results revealed that the hybrid model is able to withstand a variety of attacks and shows high level of security.

Rapid development in technology has facilitated easy access to data in various domains. Security has hence become a subject of major concern. The paper brings forth a novel approach to embed a robust visible and invisible watermark into video frames, such that the authenticity of the original signal is maintained. Through Digital watermarking scheme, additional information is embedded in the video signal which protects the video from unauthorized access. This becomes instrumental in copyright owner identification. The use of Discrete Wavelet Transform (DWT) and Standard Deviation plays an important role in making this watermarking scheme resistant to various security breaches.

IEEE Access

Nowadays, digital content like videos, audio and images are widely used as evidence in criminal courts and forensic laboratories. Due to the advanced low-cost and easily available multimedia/communication tools and softwares, manipulation of the content is a no-brain task. Thus, the protection of digital content originality is a challenge for the content owners and researchers before it can be produced in court or used for some other purpose. We proposed a motion vector watermarking technique that validate and authenticate videos. We are embedding the correlated watermark in the integer wavelet transform domain. In our method, the selection of embedding areas is based on the variation of motion vectors. The video frames are fully protected in both spatial and transform domains since the watermark is correlated with the approximation subbands of wavelet transform before embedding. The proposed technique can concisely determine the attacked regions. The results validate the performance of the proposed approach in terms of quality metrics like peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), normalized coefficients (NC) and bit error rate (BER).

Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019

The outgrowth in technological world has massively promoted to information fraud and misappropriation by the ease of multimedia data content regeneration and modification. Consequently, security of digital media is considered among the biggest issues in multimedia services. Watermarking, consisting in hiding a signature known as watermark in a host signal, is one of the potential solutions used purposely for media security and authentication. In this paper, we propose a robust video watermarking scheme using Discrete Wavelet Transform and Singular Value Decomposition. We embed the watermark into the mid frequency sub-bands based on an additive method. The extraction process operates following a blind detection algorithm. Several attacks are applied and different performance metrics are computed to assess the robustness and the imperceptibility of the proposed watermarking. The results reveal that the proposed scheme is robust against different attacks and achieves a good level of imperceptibility.

IntechOpen Open Access Publisher, 2019

This chapter proposes a wavelet data hiding scheme for video authentication and ownership protection. A watermark in the shape of a logo image will be hidden. In this research, a discrete wavelet transform (DWT) process is implemented using orthonormal filter banks, where the Y components of the YUV color space of the video frames are decomposed using DWT, and a watermark is inserted in one or more of the resulting sub-bands in a way that is fully controlled by the owner. Then, the watermarked video is reconstructed. The filters used for the DWT decomposi-tions are randomly generated to increase the security of the algorithm. An enhanced detection technique is developed to increase the reliability of the system. The overall robustness of this scheme is measured when common attacks are applied to the test videos. Moreover, the proposed algorithm is used with the high-efficiency video coding (HEVC) technique to examine the whole performance. Furthermore, a selective denoising filter is built to eliminate the effect of the noise. The simulation results show that the proposed algorithm achieves well under both the visual and the metric tests. Moreover, it performed well against intentional and unintentional attacks. The average normalized correlation achieved is 97%, while the mean peak signal-to-noise ratio (PSNR) is 45 dB.

In this Paper, the authors state the implementation and performance analysis of digital video watermarking that use the combination of the transform domain processing of the video and fundamentals of the linear algebra. The concept of Discrete Wavelet Transform and Singular Value Decomposition has been used for the development of the proposed algorithm. The authors first applied discrete wavelet transform and then used the singular values, obtained by Singular Value Decomposition, for the insertion of the message behind the video. Two of the visual quality matrices were used for the analysis purpose.

2009

Video watermarking is relatively a new technology that has been proposed to solve the problem of illegal manipulation and distribution of digital video. It is the process of embedding copyright information in video bit streams. In this paper, we propose two effective, robust and imperceptible video watermarking algorithms. The two algorithms are based on the algebraic transform of Singular Value Decomposition (SVD). In the first algorithm, watermark bit information are embedded in the SVD-transformed video in a diagonal-wise fashion, and in the second algorithm bits are embedded in a blocks-wise fashion. The performance of the two proposed algorithms was evaluated with respect to imperceptibility, robustness and data payload. Both algorithms showed similar but high level of imperceptibility, however their performance varied with respect to robustness and payload. The diagonal-wise based algorithm achieved better robustness results, while the block-wise algorithm gave higher data payload rate.

In this paper, DWT & SVD based robust Video watermarking algorithm is purposed to embed and extract the watermark into video. We select random and dynamic frames from video to embed a watermark into video file (.avi). The aim of this paper is to stop the piracy and misused of the information and provides authenticity and copyright protection to the real owner of the data. It also helps to maintain the quality of video without detected or identified by human visual system. So, this work is provides robustness against attacks, imperceptibility and security. The result values are calculated on the basis of quality metrics such as MSE, PSNR, BER and SSIM.

In the already existing system the discrete wavelet transform (DWT) was used which had lack of translation invariance.In this paper we present a novel, fast and robust Video Watermarking Scheme for RGB Uncompressed AVI Video sequence in Stationary Wavelet Transform (SWT) domain using Singular Value Decomposition (

watermark.