Video watermarking scheme based on visual cryptography and scene change detection

Singh, Th. Rupachandra; Singh, Kh. Manglem; Roy, Sudipta

doi:10.1016/j.aeue.2013.01.008

Cited by 51 publications

(24 citation statements)

References 14 publications

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“…Similarly when we are going for embedding different watermark, the attacker would use motionless regions in successive video frames to remove the watermarks by means of comparing and averaging of frames [38]. These issues are addressed in our proposed system by embedding a similar weight matrix in all successive non-motion frames of a cover video [35]. This in turn improves the robustness of the watermarks in terms of above mentioned collusion and averaging attacks.…”

Section: Proposed Frameworkmentioning

confidence: 93%

“…The watermark carries information about the cover content such as image, audio [11] or video in which it is hidden from the normal view without degrading the quality of the cover content to indicate authenticity. The watermark can take its own form such as ownership identifiers, text, gray level, color or binary images, copyright messages, dates of transaction or any other digital formats [35]. Depending on the application, several kinds of watermarking algorithms have been proposed.…”

Section: Introductionmentioning

confidence: 99%

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A bi-directional associative memory based multiple image watermarking on cover video

Agilandeeswari

Ganesan

2015

Multimed Tools Appl

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Telemedicine is a rapidly developing application of clinical medicine where medical information is transferred through the internet and other networks for the purpose of consulting, and remote medical procedures or examinations. This paper presents a novel neural network inspired watermarking technique, to enhance the authentication of the transmitted sensitive medical images over telemedicine network. In order to examine the medical images, the multiple scan images of same type or different types can be considered as watermarks and the same are trained using Bidirectional Associative Memory (BAM) neural network. The resultant weight matrix is embedded in the less correlated Principal Component Analysis (PCA) components of the wavelet coefficients of the cover video frames using additive embedding type of watermark. At the receiver end, the same BAM neural network is used with the randomly generated target matrix and the extracted weight matrix as input. As a result of this, the input matrix will be obtained. From the input matrix, the physician can extract their own information or scan images using their private or secret key. The proposed watermarking technique is validated with the existing systems in terms of imperceptibility, robustness and watermark capacity using the metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), Normalized Cross Correlation (NCC), Bit Correction Rate (BCR), Detection rate, Receiver Operating Characteristics (ROC) and payload. The performance of the proposed system is evaluated by introducing various notable image processing attacks, geometrical attacks and video processing attacks on watermarked video. The experimental results demonstrate that the proposed technique has good perceptual quality of 50.6292 dB in terms of PSNR value, robustness of about nearly 1.0000 in terms of NCC value and payload of 1000 watermarks.

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Section: Proposed Frameworkmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

A bi-directional associative memory based multiple image watermarking on cover video

Agilandeeswari

Ganesan

2015

Multimed Tools Appl

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“…Video watermarking contains a number of issues such as embedding a large amount of data, the redundancy between frames, and robustness against temporal attacks (Doerr and Dugelay, 2003) that image-based algorithms could not solve these problems. The collusion may be either inter-video or intra-video collusion (Singh et al, 2013). Embedding identical watermark to each frame of the video leads to the problem of maintaining the statistical perceptual invisibility.…”

Section: Literature Surveymentioning

confidence: 99%

“…The security information must be in inseparable form during its useful lifespan. The digital watermarking is such an effective way to protect the copyright of the digital multimedia data even after its transmission (Singh et al, 2013). Watermarking is the process of embedding some special pattern like labels, Marks into multimedia documents without degrading the quality of the data.…”

Section: Introductionmentioning

confidence: 99%

A new approach for scene-based digital video watermarking using discrete wavelet transforms

Shukla¹,

Шарма

2018

Int. j. adv. appl. sci.

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This paper presents a scene based video watermarking technique using discrete wavelet transform in the application of video copyright protection. The proposed technique combines the successive estimation of statistical measure (SESAME) technique with video watermarking. In this proposed technique, first level decomposition using 2D-discrete wavelet transform (DWT) of LL sub-band of the cover video frames is considered for embedding. To reduce the computational time, watermark image is inserted only in the scene change frames. To detect the scene changed frame, successive estimation of the statistical measure and HiBiSLI algorithm based scene change detector is designed, which is the most novel-part of the work. In the case of watermarking, the correlation between successive frames is an ideal measure for identifying scene change. The performance shows overall improvement in the measured value of metrics like mean square error, peak signal to noise ratio, normalized correlation, and structural similarity index and bit error rate for embedding using level 1 decomposition. The proposed system achieves robustness against image processing attacks, geometrical attacks, jpeg compression and different video attacks. Further performance enhancements have achieved by embedding at level-2 decomposition. The empirical result suggests that increasing number of levels can improve the performance of the system. Improvement in the robustness and transparency is calculated in terms of bit error rate, normalized correlation and SSIM. Finally, the results are discussed in light of some recently reported studies and have proven a non-blind, robust and imperceptible watermarking system.

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“…Rupachandra, et al, proposed a video watermarking scheme based on visual cryptography, scene change detection and DWT. The scheme uses an identical sub-band watermark for the same scene, but different parts in different scenes [4]. Semin Kim, et al, proposed a novel modality fusion method designed for combining spatial and temporal fingerprint information to improve video copy detection performance [5].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Robust Video Watermarking Scheme based on Dual Transform Domains and Holography

Jiang¹,

Li²,

Kim³

2015

IJSIA

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Video watermarking scheme based on visual cryptography and scene change detection

Cited by 51 publications

References 14 publications

A bi-directional associative memory based multiple image watermarking on cover video

A bi-directional associative memory based multiple image watermarking on cover video

A new approach for scene-based digital video watermarking using discrete wavelet transforms

Adaptive Robust Video Watermarking Scheme based on Dual Transform Domains and Holography

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