An effective and secure video watermarking using hybrid technique

Dhevanandhini, G.; Yamuna, G.

doi:10.1007/s00530-021-00765-x

Cited by 8 publications

(8 citation statements)

References 25 publications

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“…A comparison with previously established methods is performed to further validate the performance of the proposed algorithm. Analyzing the NC results in Table 6, it can be noted that our method outperforms [29] and [30] in noise, filter, cropping, blurring and sharpening attacks. The video watermarking technique presented in [29] is in DCT domain and based on meta-heuristic algorithm and the method in [30] is based on dual-tree complex wavelet transform and adaptive cuttlefish optimization algorithm.…”

Section: Comparative Studymentioning

confidence: 89%

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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Section: Comparative Studymentioning

confidence: 89%

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

Tarhouni¹,

Masmoudi

Charfeddine

et al. 2022

Multimedia Systems

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“…The subject of this publication is the embedding of a watermark in a video; therefore, it should be noted that there are various methods for this purpose, both classical [ 13 , 14 , 15 , 16 , 39 , 40 , 41 , 42 , 43 ] and those based on artificial neural networks [ 11 , 12 ]. Among the works describing the process of embedding a watermark in a video, there are some dedicated specifically to particular video codecs, such as H.264/AVC (Advanced Video Coding) [ 13 , 14 , 39 , 40 , 41 ] and its successor H.265/HEVC (High-Efficiency Video Coding) [ 15 , 16 , 42 , 43 ].…”

Section: Literature Reviewmentioning

confidence: 99%

High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm

Kaczyński

Piotrowski

2022

Sensors

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This paper presents a method of high-capacity and transparent watermarking based on the usage of deep neural networks with the adjustable subsquares properties algorithm to encode the data of a watermark in high-quality video using the H.265/HEVC (High-Efficiency Video Coding) codec. The aim of the article is to present a method of embedding a watermark in a video with HEVC codec compression by making changes in a video in a way that is not noticeable to the naked eye. The method presented here is characterised by focusing on ensuring the accuracy of the original image in relation to the watermarked image, providing the transparency of the embedded watermark, while ensuring its survival after compression by the HEVC codec. The article includes a presentation of the practical results of watermark embedding with a built-in variation mechanism of its capacity and resistance, thanks to the adjustable subsquares properties algorithm. The obtained PSNR (peak signal-to-noise ratio) results are at the level of 40 dB or better. There is the possibility of the complete recovery of a watermark from a single frame compressed in the CRF (constant rate factor) range of up to 16, resulting in a BER (bit error rate) equal to 0 for the received watermark.

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“…An efficient compression-based safe digital watermarking was proposed in [11]. The video is first transformed into a number of frames in this document.…”

Section: Related Workmentioning

confidence: 99%

Securing Color Video When Transmitting through Communication Channels Using DT-CWT-Based Watermarking

Alkanhel

Abdallah

2022

Electronics

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In this paper, a color video watermarking system based on SVD in the complex wavelet domain is proposed. The process of inserting copyright information in video bit streams is known as video watermarking. It has been advocated in recent years as a solution to the problem of unlawful digital video alteration and dissemination. An effective, robust, and invisible video watermarking algorithm is proposed in this paper. The two-level dual tree complex wavelet transform (DT-CWT) and singular value decomposition are used to create this approach, which was built on a cascade of two powerful mathematical transforms. This hybrid technique demonstrates a high level of security as well as various levels of attack robustness. The proposed algorithm was used to the test for imperceptibility and robustness, and this resulted in excellent grades. We compared our suggested method to a DWT-SVD-based technique and found it to be far more reliable and effective.

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An effective and secure video watermarking using hybrid technique

Cited by 8 publications

References 25 publications

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

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

High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm

Securing Color Video When Transmitting through Communication Channels Using DT-CWT-Based Watermarking

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