DWT and GA-PSO Based Novel Watermarking for Videos Using Audio Watermark

Agrawal, Puja; Khurshid, A.A.

doi:10.1007/978-3-319-11897-0_25

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…The result using Akiyo and Claire are illustrated in table 3. The proposed technique gives more effective results than the existing technique (Puja Agrawal et al [8]). In this section, the proposed algorithm is tested for different attacks such as salt and pepper noise, cropping ratio and rotate.…”

Section: Comparative Analysismentioning

confidence: 90%

“…In this present work, we have compared proposed video watermarking technique against existing work (Puja Agrawal et al [8]). The performance of the proposed video watermark technique is analyzed with the help of PSNR and NC.…”

Section: Comparative Analysismentioning

confidence: 91%

“…Puja Agarwal et al [8] developed a digital video watermarking scheme that can insert unseen and vigorous watermark information into the video stream standards. It exchange between simplicity and vigour is considered as optimization problem and is solved based on hybrid optimization technique.…”

Section: A Related Workmentioning

confidence: 99%

“…Shot segmentation process of input video sequence [7] 9-bit plane conversions of message audio data [8] Decomposition of shot segmented video using coiflets wavelet transform:…”

Section: A Technique Of Video Watermarking Algorithm To Embed Audio Wmentioning

confidence: 99%

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CWT and CS Algorithm Based Video Watermarking Using Audio Watermark

Sundararajan

Yamuna

2016

Procedia Computer Science

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Section: Comparative Analysismentioning

confidence: 90%

Section: Comparative Analysismentioning

confidence: 91%

Section: A Related Workmentioning

confidence: 99%

“…Shot segmentation process of input video sequence [7] 9-bit plane conversions of message audio data [8] Decomposition of shot segmented video using coiflets wavelet transform:…”

Section: A Technique Of Video Watermarking Algorithm To Embed Audio Wmentioning

confidence: 99%

See 2 more Smart Citations

CWT and CS Algorithm Based Video Watermarking Using Audio Watermark

Sundararajan

Yamuna

2016

Procedia Computer Science

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“…Moreover, most video watermarking schemes employ single scaling factors (SEF) approach that significantly affects the balance between imperceptibility and robustness. To attain a better equilibrium between imperceptibility and robustness, the integration of video-watermarking schemes with multiple scaling factors (MSF) is a promising solution [20][21][22]24,32]. However, the selection of the optimum value of MSF is an NP-complete problem [33] which can be solved by employing meta-heuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection

Singh

Mittal

Pal

2021

Complex Intell. Syst.

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Video piracy is a challenging issue in the modern world. Approximately $$90\%$$ 90 % of newly released films were illegally distributed around the world via the Internet. To overcome this issue, video watermarking is an effective process that integrates a logo in video frames as a watermark. Therefore, this paper presents an efficient lossless video-watermarking scheme based on optimal keyframe selection using an intelligent gravitational search algorithm in linear wavelet transform. This technique obtains color motion and motionless frames from the cover video by the histogram difference method. One-level linear wavelet transform is performed on the chrominance channel of motion frames and a low-frequency sub-band LL opts for watermark embedding. The performance of the proposed technique has been evaluated against 12 video processing attacks in terms of imperceptibility and robustness. Experiments demonstrate that the proposed technique outperforms five state-of-the-art schemes on the considered attacks.

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Video data security: analysis, relevance and open challenges

2023

IJATEE

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With the rapid advancement of technology, ensuring authentication and security in communication over long distances has become a primary concern. The film industry is particularly vulnerable to the unauthorized distribution of digital videos, which can be easily disseminated to a global audience due to widespread internet access. Video watermarking has gained significant importance in various applications such as copyright protection, security, fingerprinting, copy control, and annotation. Watermarking, whether in the form of an image, audio, or video, is a technique used to embed additional information within a digital video signal. This embedded information is utilized for copyright owner detection. Consequently, several methods for digital video watermarking (DVW) have been developed to address this issue. Watermarking has emerged as a crucial means of verifying ownership, ensuring authenticity, and safeguarding copyrights. Researchers employ watermarking techniques to hide confidential information, which can be made either visible or obscured based on the user's requirements. This approach plays a vital role in determining the ownership of information. To ensure secure watermarking, an optimization process is often employed. This paper presents an overview of the diverse trends and techniques adopted in the field of digital watermarking. It aims to provide a comprehensive guide to research scholars interested in exploring this area of study.

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DWT and GA-PSO Based Novel Watermarking for Videos Using Audio Watermark

Cited by 4 publications

References 7 publications

CWT and CS Algorithm Based Video Watermarking Using Audio Watermark

CWT and CS Algorithm Based Video Watermarking Using Audio Watermark

Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection

Video data security: analysis, relevance and open challenges

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