Video Watermarking Scheme Based on Candidates I-frames for Copyright Protection

Ahuja, Rakesh; Bedi, S. S.

doi:10.11591/ijeecs.v5.i2.pp391-400

Cited by 13 publications

(11 citation statements)

References 11 publications

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“…To check the robustness of the proposed technique against the order of frames in a video this attack is taken into consideration (Jiang et al, 2015;Ahuja and Bedi, 2017). To verify frame swapping attack the 27th and 40th frames of the watermarked video are swapped with one another.…”

Section: Frame Swappingmentioning

confidence: 99%

“…This image has been modified to fit to the dimensions and the resolution of the video and is then replaced with the 90th frame of the video. Thus, the image part is now extracted from this image placed in the video (Arab and Hashim, 2016;Ahuja and Bedi, 2017). The effect of this extraction will entirely depend on the similarity of the image with the rest of the frames and also on the size of the part to be extracted as displayed in Figure 7 (a)-(c).…”

Section: Frame Replacementmentioning

confidence: 99%

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Authenticate audio video-crypto invisible watermarking approach for enhancing hidden information security and robustness

Gangarde

Oza

Chitode

2020

IJESDF

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For any type of watermarking techniques imperceptibility, robustness, embedding capacity, security of hidden watermark data and good visual recovery of both cover, as well as watermark secret data, are the major issues. To solve these issues the selected frames of video and the secret data is divided into the equal number of parts and every part is mapped using adaptive pixel location mapping (APLM) algorithm to get watermarked video, hence the embedding capacity and security of hidden watermark data are increased. Furthermore, the proposed system also calculates the key security parameters like peak signal to noise ratio (PSNR), mean square error (MSE), histogram, structural similarity index module (SSIM) and cross-correlation factor (CCF) before watermarking, after watermarking and after recovering the secret data from watermarked video which are found to be identical, hence the proposed system is more insusceptible to any type of attack as compared to existing watermarking approaches.

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Section: Frame Swappingmentioning

confidence: 99%

Section: Frame Replacementmentioning

confidence: 99%

Authenticate audio video-crypto invisible watermarking approach for enhancing hidden information security and robustness

Gangarde

Oza

Chitode

2020

IJESDF

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“…The benefit of this technique is that the watermark can be extracted at any time from the watermarked object to claim the ownership of the related multimedia contents [1]. In order to be a effective watermark, it should meet three requirements: (i) robustness-it should resist various possible attacks (ii) transparency-it is the perceptual similarity between original and watermark cover image (iii) capacity-it should carry the enough information that represents the uniqueness of data, the more the capacity the more private information can be carried by the host image.…”

Section: *Author For Correspondencementioning

confidence: 99%

Study of wavelets using chaotic map on DWT based blind video watermarking

Sharma¹,

Sharma²,

Kulshreshtha³

2017

IJATEE

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“…Then, it will be needed a method to improve security in transaction data on the internet, especially about copyright protection. Image watermarking is a popular method for authenticating copyright on digital image [4][5][6]. There are two important aspects of the image watermarking, i.e., imperceptibility and robustness.…”

Section: Introductionmentioning

confidence: 99%

Image watermarking using discrete wavelet-tchebichef transform

Setyono

Setiadi

2019

IJEECS

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<span>Image watermarking is one of the most popular techniques for authenticating copyright on the digital image. Many research on image watermarking has proved that the joint of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combinations can improve both imperceptibility and robustness when compared to DCT or DWT only. Discrete Tchebichef Transform (DTT) denotes an alternative transformation that has a similarity property with DCT. DTT has an advantage in reducing memory requirements during computing, so the calculation speed is much faster than DCT. This study tested the performance of DTT and DCT on non-blind image watermarking method, where DTT and DCT are performed after DWT. Based on the experimental results, this research proved that the DTT was combined successfully with DWT and very potential for further investigation because it has a computing performance much better than DCT. While the image watermarking quality, both the imperceptibility and robustness aspects were completely identical with the combination of DCT and DWT transformation.</span>

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Video Watermarking Scheme Based on Candidates I-frames for Copyright Protection

Abstract: The proposed scheme embedded the watermark during the differential pulse code modulation process and extracted through decoding the entropy details. This technique utilize the moving picture expert groups standard

Cited by 13 publications

References 11 publications

Authenticate audio video-crypto invisible watermarking approach for enhancing hidden information security and robustness

Authenticate audio video-crypto invisible watermarking approach for enhancing hidden information security and robustness

Study of wavelets using chaotic map on DWT based blind video watermarking

Image watermarking using discrete wavelet-tchebichef transform

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