An Investigation of Different Video Watermarking Techniques

Sridhar, B. T. N.

doi:10.21307/ijssis-2017-217

Cited by 4 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scope, behavior and features of watermarking method and their types were discussed [4]. A comprehensive review for various video watermarking methods was provided [5]. The main contribution of researchers is identified in terms of frame selection, region selection and data hiding methods.…”

Section: Related Workmentioning

confidence: 99%

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

Juneja¹,

Bansal²

2019

IJC

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

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

Juneja¹,

Bansal²

2019

IJC

View full text Add to dashboard Cite

show abstract

A secure video watermarking technique based on hyperchaotic Lorentz system

Cao

Wang

2019

Multimed Tools Appl

View full text Add to dashboard Cite

Hessenberg factorization and firework algorithms for optimized data hiding in digital images

Gaata

Younis

Hasoon

et al. 2022

Journal of Intelligent Systems

View full text Add to dashboard Cite

Data hiding and watermarking are considered one of the most important topics in cyber security. This article proposes an optimized method for embedding a watermark image in a cover medium (color image). First, the color of the image is separated into three components (RGB). Consequently, the discrete wavelet transform is applied to each component to obtain four bands (high–high, high–low, low–high, and low–low), resulting in 12 bands in total. By omitting the low–low band from each component, a new square matrix is formed from the rest bands to be used for the hiding process after adding keys to it. These keys are generated using a hybrid approach, combining two chaotic functions, namely Gaussian and exponential maps. The embedding matrix is divided into square blocks with a specific length, each of which is converted using Hessenberg transform into two matrices, P and H. For each block, a certain location within the H-matrix is used for embedding a secret value; the updated blocks are assembled, and the reverse process is performed. An optimization method is applied, through the application of the firework algorithm, on the set of the initial values that generate keys. Using an optimization procedure to obtain keys requires performing lowest possible change rate in an image and maintain the quality of the image. To analyze and test the efficiency of the proposed method, mean-square error (MSE) and peak signal-to-noise ratio (PSNR) measurements are calculated. Furthermore, the robustness of the watermark is computed by applying several attacks. The experimental results show that the value of the MSE is reduced by about 0.01 while the value of the PSNR is increased by about 1.25 on average. Moreover, the proposed method achieved a high-retrieval rate in comparison with the non-optimization approach.

show abstract

An Investigation of Different Video Watermarking Techniques

Cited by 4 publications

References 38 publications

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

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

A secure video watermarking technique based on hyperchaotic Lorentz system

Hessenberg factorization and firework algorithms for optimized data hiding in digital images

Contact Info

Product

Resources

About