A blind video watermarking scheme resistant to rotation and collusion attacks

Karmakar, Amlan; Phadikar, Amit; Phadikar, Baisakhi Sur; Maity, Goutam Kumar

doi:10.1016/j.jksuci.2014.06.019

Cited by 21 publications

(14 citation statements)

References 13 publications

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“…This shows that the proposed algorithm has good robustness against both frame Table 7. To compare the robustness, the best values from [27] are taken against the proposed algorithm.…”

Section: Comparisonsmentioning

confidence: 99%

Robust compressed domain watermarking algorithm for video protection and authentication in noisy channels

Cheggoju¹,

Satpute²

2019

Turk J Elec Eng & Comp Sci

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This paper introduces a robust and noise-resilient compressed domain video watermarking technique for data authentication and copyright protection. In recent years, watermarking has emerged as an essential technique to be equipped with data transmission. The main challenge pertaining to transmission is to protect the watermark from noise introduced by the channel. Here, we address this issue by watermark replication and by using the independent pass coding (INPAC) algorithm for compression. A replicated watermark is embedded into the video by the proposed blind video watermarking algorithm and then the watermarked video is compressed by the INPAC algorithm. The compressed video is transmitted through binary symmetric channels and tested under various bit error rates to evaluate the proposed algorithm in noisy environments. The results obtained suggest that the proposed algorithm is capable of handling noise efficiently and the overhead due to key embedding is observed to be only about 3%.

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“…This shows that the proposed algorithm has good robustness against both frame Table 7. To compare the robustness, the best values from [27] are taken against the proposed algorithm.…”

Section: Comparisonsmentioning

confidence: 99%

Robust compressed domain watermarking algorithm for video protection and authentication in noisy channels

Cheggoju¹,

Satpute²

2019

Turk J Elec Eng & Comp Sci

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“…Karmakar A. et al, [7] have proposed a DCT based blind video watermarking algorithm which was perceptually invisible and robust against rotation and collusion attack. Zernike moments were calculated to predict the rotation angle of the video at the time of extraction of watermark bits.…”

Section: Dzwonkowski M Et Almentioning

confidence: 99%

Digital Fingerprinting for Piracy Control

Sharma¹,

Ranade²

2017

IJCA

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Aiming at the secure, robust and perceptually invisible data hiding goal, a Discrete Cosine Transform (DCT) based blind video watermarking algorithm which is robust against collusion attack is proposed in this paper. This research work embeds the binary code acting as a digital fingerprint in the video frame that uniquely recognizes the authenticated user. The fingerprints are designed in the DCT domain that resist collusion and controls piracy. The confidentiality of the original frame is achieved by embedding watermark logo at the random blocks in the successive frames of the video. This is done by using Pseudo Random Number (PRN) generator whose seed value generated by a permutation vector acts as a secret key (K). During the extraction of watermark information, the same permutation vector is used to regenerate the secret key as well as the selection of the embedding blocks. This achieves the piracy control in digital fingerprinting mechanism as none of unauthorized users can tamper the original content. The experimental results show that the proposed scheme is robust against the collusion attack. General TermsDigital fingerprinting, Collusion attack.

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“…Despite the success of DWT and its variants, like DWT‐SVD, DWT‐PCA, multiwavelet‐based speed up robust features 23 and dual tree complex wavelet transform (DTCWT), 24 and so on, has been suffering from limited direction in their filtering structure. Authors in Reference 25 presented a DCT‐based BVW approach that resists the rotation and collusion attacks. Additionally, complex Zernike moments are employed to obtain the property of rotation invariancy.…”

Section: Introductionmentioning

confidence: 99%

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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A blind video watermarking scheme resistant to rotation and collusion attacks

Cited by 21 publications

References 13 publications

Robust compressed domain watermarking algorithm for video protection and authentication in noisy channels

Robust compressed domain watermarking algorithm for video protection and authentication in noisy channels

Digital Fingerprinting for Piracy Control

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

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