Digital Video Watermarking using DWT and Singular Values

Latha, S. Bhargavi; Reddy, D. Venkata; Damodaram, A.

doi:10.1145/2905055.2905137

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…The Table 1 shows the watermark retrieval accuracy in terms of number of bits in error verses various attacks and also compared with the one of the state of art method [27] and [28]. The results state that proposed method is able to show the improvement in number of bits in error.…”

Section: Resultsmentioning

confidence: 96%

Robust Video Watermarking Using Secret Sharing, SVD, DWT and Chaotic Firefly Algorithm

Bhargavi¹,

Dasari²,

Damodaram³

2018

IJIES

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Abstract:Watermarking is the process to protect and discourage the illegal sharing of multimedia content through digital data sharing websites over INTERNET and also to prove ownership of the multimedia content. Though various watermarking solutions are available to safeguard the digital media, at the same time many methods exist to weaken the strength of watermark hence ownership is disproved and can be shared illegally. Strength of watermark can be increased to make it to robust against these methods at the cost of perceptual quality. So, a compromised approach is required. This paper proposes a video watermarking solution to maintain robustness as well perceptual quality through optimization. This method adds secretly shared watermark bits to singular values of the discrete wavelet coefficients with proper scaling factor, which is selected by using the Chaotic Firefly Algorithm optimization method. Despite many watermarking methods exist on combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD), these are not effective against all filtering attacks as these are not using all frequency coefficients either for embedding or secret sharing. This method generates secretly shared watermark based on singular values in DWT domain to make the system more robust against filtering attacks and video compression techniques. This solution leverages chaotic firefly algorithm to compromise robustness and perceptual quality of the input along with SVD and DWT. The performance of method is measured by evaluating it on a dataset comprised of 140 videos of various genre and compared its performance with state of art methods. Eventually, proved the method is performing well when compared to state of art methods with respect to robustness as well as quality at the cost of computation. The stated results in experimental section shows us that watermark can be retrieved even if watermarked audio undergoes several attacks like compression at lower bit rates, frame drop attack and resize attack etc.

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Section: Resultsmentioning

confidence: 96%

Robust Video Watermarking Using Secret Sharing, SVD, DWT and Chaotic Firefly Algorithm

Bhargavi¹,

Dasari²,

Damodaram³

2018

IJIES

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“…Alenizi et al [20] combined the DWT with HEVC (High-Efficiency Efficiency video Encoding) to improve the perceptual invisibility and robustness of video watermarking. Latha et al [21] applied multi level DWT and SVM to improve the robustness and capacity of video watermarking.…”

Section: Related Workmentioning

confidence: 99%

Frame Selective and Dynamic Pattern Based Model for Effective and Secure Video Watermarking

Juneja¹,

Bansal²

2019

IJC

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Video watermarking enables the users to share the digital contents in public domain without any issue. However, video watermarking is also infected by various attacks that can even destroy the hidden watermark. The security, robustness and reliability are the key challenges of any Video watermarking technique. In this paper, such a robust and dynamic video watermarking framework is presented that can handle most of the existing issues. In this framework, the video is hiding on the selective frames and the preference of frames is done based on structural feature evaluation. After performing the frame selection, the featured analysis is accomplished on each frame to identify the effective cover blocks. The structure feature analysis based rules are applied to identify the most secure region over the frame. In the final stage, the histogram shift method is applied to perform data hiding. To improve the security, instead of hiding the complete image, the ECC (Elliptic Curve Cryptography) encrypted image is watermarked within the video frames. The analysis is performed on real time videos. The analysis results are generated in terms of MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio), SSIM (Structural Similarity Measure) and BCR (Bit Correct Ratio) parameters. The results identified that the proposed model has improved the effectiveness, robustness and security against various attacks. The comparative results are also validated against the DCT and DCT-SVD based video watermarking methods.

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