A blind MPEG-2 video watermarking robust to camcorder recording

Choi, Dooho; Do, Hoseok; Choi, Hyuk Jin; Kim, Taejeong

doi:10.1016/j.sigpro.2009.10.009

Cited by 32 publications

(16 citation statements)

References 6 publications

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“…However, as the human visual system (HVS) more easily perceives changes in luminance than in chrominance [58], the performance was limited by the low watermark magnitude required to maintain the imperceptibility of the watermark. Therefore, when required to maintain watermark imperceptibility, its robustness to attacks was shown to be lower than that of methods where the watermark was embedded in the chrominance channel [59], [60].…”

Section: Related Workmentioning

confidence: 98%

Blind Camcording-Resistant Video Watermarking in the DTCWT and SVD Domain

et al. 2022

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Video watermarking techniques can be used to prevent unauthorized users from illegally distributing videos across (social) media networks. However, current watermarking solutions are unable to embed a perceptually invisible watermark which is robust to the distortions introduced by camcording. These watermark-disrupting distortions include lossy compression, the addition of noise, frame-rate conversion and geometric distortions. In this paper, a novel video watermarking technique is proposed that is blind and robust to camcording attacks. The proposed approach uses the integration of the dualtree complex wavelet transform (DTCWT) and singular value decomposition (SVD) to achieve robustness against geometric attacks. The experimental results validate our technique's superior imperceptibility and robustness to several attacks when compared to existing peer mechanisms. In conclusion, the proposed technique can be used to protect against illegal distribution of video content.INDEX TERMS Video watermarking, singular value decomposition (SVD), dual-tree complex wavelet transform (DTCWT), geometric attacks, camcording attacks.

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Section: Related Workmentioning

confidence: 98%

Blind Camcording-Resistant Video Watermarking in the DTCWT and SVD Domain

et al. 2022

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“…Table 1 lists some of the popular video-watermarking schemes. It can be observed that most schemes perform watermark embedding in DWT, DCT, and SVD domains [9][10][11][12][13][14][15]. Generally, such schemes are computationally complex [28] and unable to recover the lossless watermark image due to shiftvariant property [29].…”

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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“…According to the realization of digital watermarking, it can be divided into spatial domain methods [2][3][4][5][6][7][8][9] and transform domain methods [2,[10][11][12][13][14][15]. In the spatial domain, the common methods are histogram based methods [3][4][5], feature based methods [2,7] and pixel modification based methods [6,8,9]. Histogram has good performance in resisting RST (rotation, scaling and translation) attacks because of its shape invariance [16].…”

Section: Introductionmentioning

confidence: 99%

“…However, if the selected watermark area has less texture, the local quality of the image will have a great drop. Other methods [8,9] embed the watermark by modifying the whole frame in the spatial domain, but they do not consider the content features of the video and the continuity of adjacent frames, which causes visual flicker. Li et al [6] select a fixed number of small blocks to reduce the amount of modified pixels, thereby improving the visual quality.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Flexible 3D Histogram Watermarking

Chen

Liu

Cui

et al. 2021

2021 IEEE International Conference on Multimedia and Expo (ICME)

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Watermarking technology has attracted increasing attentions in the past few years, and a great deal traditional and deep learning-based methods have been proposed. However, these methods usually suffer from the following three challenges: First, the current algorithms are designed separately for images or videos, and there is no universal solution. Second, most algorithms cannot resist screen recording, which limits its application. Third, some algorithms can only embed fixedlength watermarks and cannot handle the embedding capacity flexibly. In this paper, a novel watermarking scheme is proposed based on spatial and temporal histograms, in which two types of histogram watermarking are designed: One is constructed in the spatial domain, using the low-frequency characteristics of the image to change the shape of the histogram and embed the watermark. The other is established in the time domain, which uses the similarity of adjacent frames and combines texture features to modify the shape of the temporal histogram to embed the watermark. Experimental results compared with the state-of-the-art demonstrate that the proposed scheme achieves superior performance.

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A blind MPEG-2 video watermarking robust to camcorder recording

Cited by 32 publications

References 6 publications

Blind Camcording-Resistant Video Watermarking in the DTCWT and SVD Domain

Blind Camcording-Resistant Video Watermarking in the DTCWT and SVD Domain

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

Adaptive Flexible 3D Histogram Watermarking

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