Real-Time Implementation of Blind and Robust Watermarking for HEVC Video Coding

Joshi, Amit M.; Jain, Vivek Kumar; Ladda, Shubham; Kumar, Raushan

doi:10.1109/ises.2018.00022

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…Recently, references [30,31] proposed two hardware-based HEVC watermarking techniques for ownership verification. Both techniques use AC-NZ coefficients into the arithmetic algorithms at the CABAC for embedding and extracting watermarks, where they also control the bitrate increase and minimize the complexity.…”

Section: Q4: What Are the Possible Options To Implement Watermarkimentioning

confidence: 99%

“…Recently, references [30,31] proposed two real-time HEVC watermarking techniques for ownership verification based on Very-Large-Scale Integration (VLSI) architecture and it was applied on a Field Programmable Gate Array (FPGA) platform. Both techniques use AC-NZ coefficients at the HEVC entropy part for embedding and extracting watermarks, while they control the bitrate increase and minimize the complexity.…”

Section: H Q8: Are There Any Real-time Hevc Video Watermarking Technmentioning

confidence: 99%

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HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities

et al. 2020

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Recently, High-Efficiency Video Coding (HEVC/H.265) has been chosen to replace previous video coding standards, such as H.263 and H.264. Despite the efficiency of HEVC, it still lacks reliable and practical functionalities to support authentication and copyright applications. In order to provide this support, several watermarking techniques have been proposed by many researchers during the last few years. However, those techniques are still suffering from many issues that need to be considered for future designs. In this paper, a Systematic Literature Review (SLR) is introduced to identify HEVC challenges and potential research directions for interested researchers and developers. The time scope of this SLR covers all research articles published during the last six years starting from January 2014 up to the end of April 2020. Forty-two articles have met the criteria of selection out of 343 articles published in this area during the mentioned time scope. A new classification has been drawn followed by an identification of the challenges of implementing HEVC watermarking techniques based on the analysis and discussion of those chosen articles. Eventually, recommendations for HEVC watermarking techniques have been listed to help researchers to improve the existing techniques or to design new efficient ones.

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Section: Q4: What Are the Possible Options To Implement Watermarkimentioning

confidence: 99%

Section: H Q8: Are There Any Real-time Hevc Video Watermarking Technmentioning

confidence: 99%

HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities

et al. 2020

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A new video watermarking using redundant discrete wavelet in singular value decomposition domain with multi‐objective optimization

Kumar¹,

Srinivas²,

Prabhakar

2021

Concurrency and Computation

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Day by day, the transmission or sharing of digital information online is increasing due to the fact that Internet usage has become somewhat of an addiction for the majority of people. This results in larger copyright violation problems. Nowadays, most of the data or information is being transmitted in the form of digital images or videos, which are rather simple for the violators of copyright to forge or fake and then share for profit. Thus, digital watermarking came into existence as a possible solution to address these violations of copyright. This article proposes a new blind video watermarking (BVW) using redundant discrete wavelet transform (RDWT) in singular value decomposition (SVD) domain, which utilizes the advantages of both RDWT and SVD to embed and extract the watermark information into the cover video without degrading the quality of the watermark. In addition, an efficient meta‐heuristic optimization with multi‐objective optimization (MOO) is employed to further optimize the proposed RDWT‐SVD approach. Further, various attacks were applied to the watermarked frame to disclose the robustness of proposed BVW using RDWT‐SVD with MOO approach. Extensive simulations on several test videos with comparison to the conventional BVW methodologies exhibit the transcendency of the proposed BVW using RDWT‐SVD with MOO approach in terms of watermarking quality evaluation metrics such as peak signal‐to‐noise ratio (PSNR), structural similarity index, normalized correlation, and even that of root mean square error as well.

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Prediction mode based H.265/HEVC video watermarking resisting re-compression attack

Gaj

Sur

Bora

2020

Multimed Tools Appl

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Real-Time Implementation of Blind and Robust Watermarking for HEVC Video Coding

Cited by 6 publications

References 16 publications

HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities

HEVC Watermarking Techniques for Authentication and Copyright Applications: Challenges and Opportunities

A new video watermarking using redundant discrete wavelet in singular value decomposition domain with multi‐objective optimization

Prediction mode based H.265/HEVC video watermarking resisting re-compression attack

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