A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine

Rajpal, Ankit; Mishra, Anurag; Bala, Rajni

doi:10.1016/j.asoc.2018.10.043

Cited by 27 publications

(13 citation statements)

References 29 publications

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“…Sharma [28] enhanced the work by adding transpositional cipher in the combined transform of DWT-SVD to enhance security. Transpositional cipher used in [29] had issues in security. e cipher used in research [30] enhances security of any watermarking technique.…”

Section: Related Workmentioning

confidence: 99%

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A Secured Frame Selection Based Video Watermarking Technique to Address Quality Loss of Data: Combining Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption

Sharma

Bagga

Sobti

et al. 2021

Security and Communication Networks

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The advancement of Internet technologies has led to the availability of audios, images, and videos in different forms. The unauthorized users are exploiting the use of multimedia by transmitting them on various Internet sites to earn money unethically without the intervention of the original copyright holder. Watermarking is a technique used to hide the signal known as watermark inside multimedia data that is not visible to the intruder to manipulate any information. In this paper, a secured watermarking approach is developed to tackle issues related to copyright protection and ownership identification. A Secured Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption hybrid techniques are proposed. The watermark cannot be embedded in every frame of the video as it adds to the size of the video and watermark can be easily retrieved by an intruder. Therefore, the frame selection algorithm has been proposed in the given work. Adding watermark in the frame adds to the challenge of quality loss. The quality loss is addressed in this work. Various attacks have been applied on the watermarked frames to calculate the performance of the proposed technique using quality metrics: Peak Signal to Noise Ratio, Structural Similarity Index, Normalized Correlation, and Bit Error Rate. The results indicate that the proposed technique is effective against various attack scenarios.

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Section: Related Workmentioning

confidence: 99%

“…Rajpal [29] In this research, fuzzy frame selection scheme with bidirectional extreme learning machine is done. Fuzzy rules are based on luminance, edge, and texture sensitivity.…”

Section: Referencementioning

confidence: 99%

A Secured Frame Selection Based Video Watermarking Technique to Address Quality Loss of Data: Combining Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption

Sharma

Bagga

Sobti

et al. 2021

Security and Communication Networks

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show abstract

“…e research frequency domain achieves more level of robustness compared to spatial domain but is not efficient to handle various attack scenarios. e combination of DWT and SVD was also applied by various researchers [16].…”

Section: Related Workmentioning

confidence: 99%

A Novel Optimized Graph-Based Transform Watermarking Technique to Address Security Issues in Real-Time Application

Sharma

Bagga

Singh

et al. 2021

Mathematical Problems in Engineering

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The multimedia technologies are gaining a lot of popularity these days. Many unauthorized persons are gaining the access of multimedia such as videos, audios, and images. The transmission of multimedia across the Internet by unauthorized person has led to the problem of illegal distribution. The problem arises when copyrighted data is getting accessed without the knowledge of copyright owner. The videos are the most attacked data during COVID-19 pandemic. In this paper, the frame selection video watermarking technique is proposed to tackle the issue. The proposed work enlightens frame selection followed by watermarking embedding and testing of the technique against various attacks. The embedding of the watermark is done on selected frames of the video. The additional security feature Hyperchaotic Encryption is applied on watermark before embedding. Watermark embedding is done using graph-based transform and singular-valued decomposition and the performance of the technique is further optimized using hybrid combination of grey wolf optimization and genetic algorithm. Many researchers face the challenge of quality loss after embedding of watermark. Proposed technique will aim to overcome those challenges. A total of 6 videos (Akiyo, Coastguard, Foreman, News, Bowing, and Pure Storage) are used for carrying out research work. The performance evaluation of the proposed technique has been carried out after processing it against practical video processing attacks Gaussian noise, sharpening, rotation, blurring, and JPEG compression.

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“…However, the performance was not effective. In [3], Biorthogonal Wavelet Transform was introduced to enhance the efficiency and security in the surveillance system, but this system was not robust. Zero-watermarking scheme was developed in [4] to exhibits strong robustness against various video attacks.…”

Section: Related Workmentioning

confidence: 99%

“…However, this leads to an increase in illegal operations such as duplication, modification, forgery, and copyright infringement. Therefore, the copyright protection, content authentication, and ownership identification have become critical requirements of the multimedia content security [3]. Watermarking is the process of embedding data into a multimedia element such as image, audio or video.…”

Section: Introductionmentioning

confidence: 99%

A Robust Watermarking Method for an Authentication of Video Surveillance Applications

Mali,

Agilandeeswari

2019

IJEAT

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The problem of authenticating the video content is the major role of any automated video surveillance systems (AVS). This research work delivers an approach to authenticate the surveillance video which can be used by attorneys to prove their clients using Digital Watermarking. The digital watermark gives an assurance that the provided video surveillance frame is not tampered. In this paper, we proposed a robust video watermarking approach for an authentication of video surveillance applications. The digital watermark is embedded into the Discrete Wavelet domain of the identified key frames using holoentropy. Here, the pixel map will be optimallygenerated for the watermarking and the image embedding using the proposed classifier using Moth – flame - Rider optimization based Neural Network (MF-ROA-based NN) will generate the optimal map prediction based on the fitness measure, such as wavelet coefficient, energy, entropy, loop coefficient, and standard deviation, respectively. This optimal map is used for both embedding and extraction. The experimental results proves that the proposed systems can authenticate the surveillance video frames against various attacks when compared to the existing systems.

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A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine

Cited by 27 publications

References 29 publications

A Secured Frame Selection Based Video Watermarking Technique to Address Quality Loss of Data: Combining Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption

A Secured Frame Selection Based Video Watermarking Technique to Address Quality Loss of Data: Combining Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption

A Novel Optimized Graph-Based Transform Watermarking Technique to Address Security Issues in Real-Time Application

A Robust Watermarking Method for an Authentication of Video Surveillance Applications

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