Video watermarking using neural networks

Latha, S. Bhargavi; Reddy, D. Venkata; Damodaram, A.

doi:10.1504/ijics.2021.10034316

IJICS

2021

DOI: 10.1504/ijics.2021.10034316

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Video watermarking using neural networks

S. Bhargavi Latha¹,

D. Venkata Reddy²,

A. Damodaram³

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2021

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Survey of Recent Video Watermarking Techniques

Hummad¹,

Hassan²

2021

ETJ

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With the development of the Internet coupled with expanding the accessibility of multimedia, various copyright issues have resulted. Several researchers have been working on watermarks to provide the security, durability, and a perception of multimedia. This paper a review of some recent works is presented related to video watermarking techniques, this study focuses on the pros and cons of recent video watermarking, areas of application, and the different types and attacks that are standing against these watermarking techniques. The results obtained from this study showed that watermark techniques based on the transfer domain, are more popular than those of the spatial domain.

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Survey of Recent Video Watermarking Techniques

Hummad¹,

Hassan²

2021

ETJ

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Video watermarking using neural networks

Cited by 1 publication

References 0 publications

Survey of Recent Video Watermarking Techniques

Survey of Recent Video Watermarking Techniques

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