An efficient video watermarking based security model

Gupta, Garima; Gupta, Vishal; Chandra, Mahesh

doi:10.1007/s00542-017-3689-x

Cited by 16 publications

(14 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to the poor robustness of watermarking algorithms in the spatial domain, video watermarking algorithms for copyright protection are mostly concentrated in the transform domain [6]- [9]. Singh [6] embedded watermarks into high-frequency DWT coefficients and used the scale invariant feature transform (SIFT) to improve the method's robustness against rotation attacks.…”

Section: Related Workmentioning

confidence: 99%

“…Among them, digital watermarking is the most commonly used copyright protection technology for digital products due to its good concealment, robustness, and stability. Depending on the differences of the embedding domains, digital watermarking can be divided into two categories: watermarking in the spatial domain [4] and watermarking in the transform domain [5]- [9]. Watermarking algorithms in the spatial domain are easy to implement but have poor robustness.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression

Wang

Zhou

2019

IEEE Access

View full text Add to dashboard Cite

With the rampancy of pirated videos, video watermarking for copyright protection has become a widely researched topic. In this paper, zero-watermarking is applied to videos for the first time to resist high efficiency video coding compression, which can improve the robustness of the watermarking algorithm and ensure the videos' quality. A robust video zero-watermarking algorithm based on the discrete wavelet transform, the all phase biorthogonal transform, and singular value decomposition is proposed. Utilizing the properties of hybrid transforms, robust features can be extracted from videos, and robust zero-watermarks can be constructed. Experimental results demonstrate that the proposed algorithm has strong robustness to high efficiency video coding compression attacks with different quantization parameters. In addition, the algorithm can also resist common image processing attacks, geometric attacks, frame-based attacks, and hybrid attacks. Compared with existing video watermarking algorithms, the proposed algorithm can more accurately and completely reconstruct watermark images.INDEX TERMS Video signal processing, watermarking, video watermarking, zero-watermarking, copyright protection, robustness, high efficiency video coding, discrete wavelet transform, all phase biorthogonal transform, singular value decomposition.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression

Wang

Zhou

2019

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The mosaic pattern was generated as the cover region to improve the reliability of watermarking method. Gupta et al [6] have used the Group Search Optimization (GSO) algorithm for selection of the frames and the cover region to hide the watermark within video. The optimized search method has performed the resource level analysis to identify the best-fit region over the video frames.…”

Section: Related Workmentioning

confidence: 99%

“…The error rate evaluation is obtained by using this measure. The MSE equation is provided in equation (6)…”

Section: Msementioning

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

“…An optimal quantization model based on the characteristics of HVS is introduced to quantize wavelet coefficients selected from different sub-bands, and then the watermark embedding process can be achieved. To prevent the collusion attack, Gupta et al [50] adopted DWT to resize frames into 512 × 512 based on security model, and the maximum mean values of LL and HL bands were used to select watermark positions. In addition, the group search optimization (GSO) algorithm is applied to optimize the selected positions.…”

Section: Dwt-based Watermarking Algorithmsmentioning

confidence: 99%

A Survey on Robust Video Watermarking Algorithms for Copyright Protection

Wang

Zhou

2018

Applied Sciences

View full text Add to dashboard Cite

With the development and popularization of the Internet and the rise of various live broadcast platforms, digital videos have penetrated into all aspects of people’s life. At the same time, all kinds of pirated videos are also flooding the Internet, which seriously infringe the rights and interests of video copyright owners and hinder the healthy development of the video industry. Therefore, robust video watermarking algorithms for copyright protection have emerged as these times require. In this paper, we review robust video watermarking algorithms for copyright protection based on original videos and compressed videos. Basic models and properties of video watermarking algorithms are described, and the evaluation indexes corresponding to each property are also introduced. To help researchers understand various existing robust watermarking algorithms quickly, some basic information and the quantitative estimation of several performances are analyzed and compared. Finally, we discuss the challenges in the research of robust video watermarking algorithms, and give possible development directions for the future.

show abstract

An efficient video watermarking based security model

Cited by 16 publications

References 16 publications

A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression

A Hybrid Transforms-Based Robust Video Zero-Watermarking Algorithm for Resisting High Efficiency Video Coding Compression

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

A Survey on Robust Video Watermarking Algorithms for Copyright Protection

Contact Info

Product

Resources

About