A Novel Framework of Robust Video Watermarking Based on Statistical Model

Li, Li; Li, Xin; Qiao, Tong; Xu, Xiaoyu; Zhang, Shanqing; Chang, Chin‐Chen

doi:10.1007/978-3-030-00015-8_14

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…In the spatial domain, there are four different types of watermarking systems [14]: LSB-based [5,15], block-based [16], statistical [17,18] and feature point-based [19]. In LSB-based, the watermark is embedded by changing the LSB of each pixel in the host image or video.…”

Section: Literature Reviewmentioning

confidence: 99%

Invisible Video Watermarking Based on Frame Selection and LSB Embedding

2024

IJIES

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Watermarking digital media content could undoubtedly discourage and prevent such illegal sharing activities, safeguarding the copyrights of the original creators. Such content could make use of invisible watermarking, not just for robustness and security, but also for imperceptibility. The proposed research presents a frame selection strategy based on the difference between the absolute histograms of consecutive frames. To increase security and robustness and avoid embedding the watermark frame by frame, ten frames with the maximum absolute histogram value are selected for watermark embedding. The size of the watermark would determine the number of nonoverlapping blocks that a key frame is divided into in order to embed the watermark. The watermarks are embedded into the LSB of the frame-blocks, which have the most matched location where the embedding error will be minimum with high imperceptibility. Security can be further enhanced by generating a secret key based on non-sequential video frames, block location, and watermark size. The proposed method surpasses other comparable methods in terms of imperceptibility and robustness to image processing and geometrical attacks, and it is also computationally inexpensive. The results of the proposed method outperformed the best state-of-the-art methods in MPSNR and MNCC by 16 dB and 0.018, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Invisible Video Watermarking Based on Frame Selection and LSB Embedding

2024

IJIES

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“…Finally, the uncompressed video is rebuilt using the frames of input videos. Li et al (2018) developed a framework for video watermarking using a statistical model that is robust against different attacks. The contribution of the video watermarking model is of threefold.…”

Section: Related Workmentioning

confidence: 99%

A secure communication approach in OFDM using optimized interesting region-based video watermarking

Wagdarikar

Senapati

2020

IJPCC

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Purpose The technique for hiding confidential data in specific digital media by enhancing the graphical contents is known as watermarking. The dissemination of information over a secure channel is essential for multimedia applications. The purpose of this study is to develop a secure communication approach for OFDM system. Design/methodology/approach This paper exploits a secure communication in the orthogonal frequency division multiplexing (OFDM) system using wavelet-based video watermarking technique. In this work, the Chronological-MS algorithm is used for securing the data communication in the OFDM system. Here, the secret message is embedded in video frames using wavelet transform for hiding sensitive information and the hidden information is transmitted over the OFDM system. The Chronological-MS algorithm is used for selecting the optimal regions in the video for embedding secret message. In embedding phase, wavelet coefficients are obtained by applying wavelet transform on the frame for embedding the secret message. Meanwhile, in extraction phase, the inverse wavelet transform is applied to extract the secret message. Findings Considering number of frames, the maximum Peak signal-to-noise ratio (PSNR) value is attained by proposed Wavelet + Chronological MS method for Video 2 with value 73.643 dB, respectively. Meanwhile, the minimum mean squared error (MSE) attained by the proposed Wavelet + Chronological MS method is when considering number of frames with MSE values as 0.001 for both Videos 1 and 2. The minimum bit error rate (BER) value is attained by the proposed method with value 0.00009 considering random noise with Video 1. Thus, the proposed Wavelet + Chronological MS have shown better results than the existing techniques. Originality/value This work proposes a wavelet-based watermarking method using Chronological-MS, for initiating secured communication over an OFDM. One of the main advantages of wavelets is that they offer a simultaneous localization in time and frequency domain. Hence, the proposed method offers the highly secured data transmission over the OFDM.

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“…Author verified the method against noise, rotation, and cropping attacks. Li et al [26] investigated a novel framework for embedding the watermark within the video by adding the artificial noise. Author applied the statistical modeling for locating the convincing region that can improve the security and reliability of watermarked contents.…”

Section: Related Workmentioning

confidence: 99%

Frame Selective and Dynamic Pattern Based Model for Effective and Secure Video Watermarking

Juneja¹,

Bansal²

2019

IJC

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Video watermarking enables the users to share the digital contents in public domain without any issue. However, video watermarking is also infected by various attacks that can even destroy the hidden watermark. The security, robustness and reliability are the key challenges of any Video watermarking technique. In this paper, such a robust and dynamic video watermarking framework is presented that can handle most of the existing issues. In this framework, the video is hiding on the selective frames and the preference of frames is done based on structural feature evaluation. After performing the frame selection, the featured analysis is accomplished on each frame to identify the effective cover blocks. The structure feature analysis based rules are applied to identify the most secure region over the frame. In the final stage, the histogram shift method is applied to perform data hiding. To improve the security, instead of hiding the complete image, the ECC (Elliptic Curve Cryptography) encrypted image is watermarked within the video frames. The analysis is performed on real time videos. The analysis results are generated in terms of MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio), SSIM (Structural Similarity Measure) and BCR (Bit Correct Ratio) parameters. The results identified that the proposed model has improved the effectiveness, robustness and security against various attacks. The comparative results are also validated against the DCT and DCT-SVD based video watermarking methods.

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A Novel Framework of Robust Video Watermarking Based on Statistical Model

Cited by 7 publications

References 22 publications

Invisible Video Watermarking Based on Frame Selection and LSB Embedding

Invisible Video Watermarking Based on Frame Selection and LSB Embedding

A secure communication approach in OFDM using optimized interesting region-based video watermarking

Frame Selective and Dynamic Pattern Based Model for Effective and Secure Video Watermarking

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