A New Watermarking Method for Video Authentication with Tamper Localization

Vybornova, Yuliya

doi:10.1007/978-3-030-59006-2_18

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…The robustness of watermark is measured using normalized cross correlation (NCC). It is evaluated using (17).…”

Section: Resultsmentioning

confidence: 99%

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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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“…The robustness of watermark is measured using normalized cross correlation (NCC). It is evaluated using (17).…”

Section: Resultsmentioning

confidence: 99%

“…A new video authentication technique based on the generation of watermark images has been developed in [17]. All watermark images were embedded into all video frames using the DWT transform.…”

Section: Related Workmentioning

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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show abstract

“…The technique can recognize modified regions of video frames, according to the findings of the experiments. A new method for video authentication is proposed in this paper [22]. The approach works by creating watermark images that act as a secondary carrier for the binary sequence.…”

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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“…Yang et al divide block partition modes into three groups to represent different data bits [24]. Although data are also embedded into the transformed coefficients [22,[25][26][27], there are several drawbacks. Specifically, embedding data into the mid-frequency and high-frequency AC coefficients usually results in bit rate overhead, while embedding data in the low-frequency coefficients results in perceptual quality degradation.…”

Section: Related Workmentioning

confidence: 99%

Data Embedding in SHVC Video Using Threshold-Controlled Block Splitting

et al. 2021

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With the increasing number of video applications, it is essential to resolve issues such as ineffective search of video content, tampered/forged video content, packet loss, to name a few. Data embedding is typically utilized as one of the solutions to address the aforementioned issues. One of the important requirements of data embedding is to maximize embedding capacity with minimal bit rate overhead while ensuring imperceptibility of the inserted data. However, embedding capacity varies depending on the video content and increasing the embedding capacity usually leads to video quality degradation. In this work, a threshold-controlled block splitting technique is proposed for embedding data into SHVC video. Specifically, the embedding capacity can be increased by coding the host video by using more small blocks, which can be achieved by tuning a threshold-controlled parameter in the rate distortion optimization process. Subsequently, the predictive syntax elements in both intra and inter-coded blocks are jointly utilized to embed data, which ensures that data can be embedded regardless of the prediction mode used in coding a block. Results suggest that the proposed method can achieve a trade-off between the increase in embedding capacity and bit rate overhead while maintaining video quality. In the best case scenario, the sequence PartyScene can embed 516.9 kbps with an average bit rate overhead of +7.0% for the Low Delay P configuration, while the same video can embed 1578.6 kbps with an average bit rate overhead of +2.9% for the All Intra configuration.

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A New Watermarking Method for Video Authentication with Tamper Localization

Cited by 5 publications

References 21 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

Data Embedding in SHVC Video Using Threshold-Controlled Block Splitting

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