Video Watermarking by Adjusting the Pixel Values and Using Scene Change Detection

Venugopala, P. S.; Sarojadevi, H.; Chiplunkar, Niranjan N.; Bhat, Vani

doi:10.1109/icsip.2014.47

Cited by 24 publications

(12 citation statements)

References 5 publications

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“…e process of frame selection is done on the basis of number changes in scenes of the frames. e calculation is done using histogram difference [15]. A new Grey Wolf Optimizer is used to solve local optimum problems and find optimal solution from given set of solutions.…”

Section: Related Workmentioning

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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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%

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

“…The work carried by Venugopala et al (2014) explains video watermarking by adjusting the pixel values and using the concept of scene change detection. In this paper a gray scale watermarking image is chosen and that image is divided into 8 multiple bit plain image.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of video watermarking algorithms on mobile device

Venugopala¹,

Sarojadevi²,

Chiplunkar³

2020

IJCAET

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Advancement of Internet services and design of image and video capturing devices along with various storage technologies has made video piracy an issue. Asserting the originality of digital data and having a copyright on the file is always a challenging task. Digital watermarking is a technique of embedding secret information known as watermarks within image or video file. This can be used for authentication and ownership verification purposes. This paper presents an analysis of mobile deployment of various video watermarking algorithms. The analysis is carried out using the quality parameters like PSNR, time of execution and power consumption. The goal of video watermarking method, implemented on a mobile phone, is to enhance security and to achieve copyright protection for the video files that are captured using a mobile phone. The video file is applied with three different watermarking methods, DCT, LSB and bitstream. These methods are compared for their performance using the parameters PSNR, power consumed and time of execution. It is observed that, the proposed bitstream method gives better performance compared to other methods when evaluated based on these parameters.

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“…There are also many other robust video watermarking algorithms in spatial domain. For example, Venugopala et al [30] decomposed the grayscale watermark image into eight bit-plane images and embedded them into different scenes of original video. Some pixel values of Y component in video frames are selected and grouped, and the watermark is embedded by adjusting the relative relationships of pixel values in every group.…”

Section: Video Watermarking In Spatial Domainmentioning

confidence: 99%

A Survey on Robust Video Watermarking Algorithms for Copyright Protection

Wang

Zhou

2018

Applied Sciences

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With the development and popularization of the Internet and the rise of various live broadcast platforms, digital videos have penetrated into all aspects of people’s life. At the same time, all kinds of pirated videos are also flooding the Internet, which seriously infringe the rights and interests of video copyright owners and hinder the healthy development of the video industry. Therefore, robust video watermarking algorithms for copyright protection have emerged as these times require. In this paper, we review robust video watermarking algorithms for copyright protection based on original videos and compressed videos. Basic models and properties of video watermarking algorithms are described, and the evaluation indexes corresponding to each property are also introduced. To help researchers understand various existing robust watermarking algorithms quickly, some basic information and the quantitative estimation of several performances are analyzed and compared. Finally, we discuss the challenges in the research of robust video watermarking algorithms, and give possible development directions for the future.

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Video Watermarking by Adjusting the Pixel Values and Using Scene Change Detection

Cited by 24 publications

References 5 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

Evaluation of video watermarking algorithms on mobile device

A Survey on Robust Video Watermarking Algorithms for Copyright Protection

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