Blind semi-fragile watermarking scheme for video authentication in video surveillance context

Hammami, Amal; Hamida, Amira Ben; Amar, Chokri Ben

doi:10.1007/s11042-020-09982-4

Cited by 17 publications

(8 citation statements)

References 49 publications

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“…In terms of imperceptibility, a greater PSNR suggests better performance. PSNR of watermarked image is calculated using (11).…”

Section: Resultsmentioning

confidence: 99%

Key-frame extraction based video watermarking using speeded up robust features and discrete cosine transform

Kapre¹,

Rajurkarb²

2023

Comput. Sci. Inf. Technol.

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Due to advancements in the internet and multimedia technologies, unauthorised users can easily modify video content. As a result, video authentication has been established as a viable solution for ensuring multimedia security. We propose a key-frame based video watermarking scheme based on discrete cosine transform (DCT). First, the pearson correlation coefficient (PCC) is used to detect the shot boundaries of the input video. To reduce the difficulties created by traditional video watermarking systems; an entropy measure is employed to detect key-frames from input video. Traditional schemes entail embedding the entire watermark into all frames of the video, which is inefficient and time-consuming. To improve the security, robustness, and imperceptibility of the proposed video watermarking scheme, speeded up robust feature points are extracted from each key-frame of the shot and used as reference points for embedding and detection of watermark. The embedded watermark is extracted blindly without using the original data during the extraction process. The results of the experiments reveal that the proposed technique effectively detects shot boundaries under a variety of camera operations and outperforms in terms of imperceptibility and resilience.

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“…In terms of imperceptibility, a greater PSNR suggests better performance. PSNR of watermarked image is calculated using (11).…”

Section: Resultsmentioning

confidence: 99%

Key-frame extraction based video watermarking using speeded up robust features and discrete cosine transform

Kapre¹,

Rajurkarb²

2023

Comput. Sci. Inf. Technol.

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“…In [15], they presented a semi fragile watermarking scheme for video content authentication based on Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT). Extracting strong characteristics from areas of interest is the beginning of creating an authentication signature based on content.…”

Section: Related Workmentioning

confidence: 99%

Fake COVID-19 videos detector based on frames and audio watermarking

Tarhouni¹,

Masmoudi

Charfeddine

et al. 2022

Multimedia Systems

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With the innovation and development of advanced video editing technology and the widespread use of video information and services in our society, it is increasingly necessary to maintain the reliability of video information. As a result, sensitive video contents in various fields such as surveillance, medical, and others should be secured against attempts to alter them because malicious modifications could impact decisions based on these videos. In this paper, we present a fake video detector based on combining audio and frames watermarking. Furthermore experimental results demonstrate good robustness and integrity verification results for COVID-19 video news.

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“…By introducing curvature drive, compared to the TV model, it can better fill the structural damage information in a larger area, but the computational complexity is relatively increased [24]. In order to reduce the repair time, related scholars have proposed a fast PDE model algorithm, which spreads smooth estimation along the gradient direction of the damaged boundary and constructs the image information into a horizontal set [25]. e FMM algorithm is simple to implement, overcomes the time-consuming shortcomings of the traditional PDE model algorithm, and can better maintain the linear structure of the image, but this type of method starts from the local information of the image and cannot solve the blur problem caused by the large area defect [26,27].…”

Section: Related Workmentioning

confidence: 99%

Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform

2022

Discrete Dynamics in Nature and Society

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At present, image restoration has become a research hotspot in computer vision. The purpose of digital image restoration is to restore the lost information of the image or remove redundant objects without destroying the integrity and visual effects of the image. The operation of user interactive color migration is troublesome, resulting in low efficiency. And, when there are many kinds of colors, it is prone to errors. In response to these problems, this paper proposes automatic selection of sample color migration. Considering that the respective gray-scale histograms of the visual source image and the target image are approximately normal distributions, this paper takes the peak point as the mean value of the normal distribution to construct the objective function. We find all the required partitions according to the user’s needs and use the center points in these partitions as the initial clustering centers of the fuzzy C-means (FCM) algorithm to complete the automatic clustering of the two images. This paper selects representative pixels as sample blocks to realize automatic matching of sample blocks in the two images and complete the color migration of the entire image. We introduced the curvature into the energy functional of the p-harmonic model. According to whether there is noise in the image, a new wavelet domain image restoration model is proposed. According to the established model, the Euler–Lagrange equation is derived by the variational method, the corresponding diffusion equation is established, and the model is analyzed and numerically solved in detail to obtain the restored image. The results show that the combination of image sample texture synthesis and segmentation matching method used in this paper can effectively solve the problem of color unevenness. This not only saves the time for mural restoration but also improves the quality of murals, thereby achieving more realistic visual effects and connectivity.

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Blind semi-fragile watermarking scheme for video authentication in video surveillance context

Cited by 17 publications

References 49 publications

Key-frame extraction based video watermarking using speeded up robust features and discrete cosine transform

Key-frame extraction based video watermarking using speeded up robust features and discrete cosine transform

Fake COVID-19 videos detector based on frames and audio watermarking

Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform

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