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SVD Based Robust Unsighted Video Watermarking Technique for different attacks

Eelandula Kumaraswamy, Rambabu Vatti, G. Vallathan, Ch. Rajendra Prasad, Koteshwar Rao Danthamala

2020IOP Conference Series Materials Science and Engineering41 citationsDOIOpen Access PDF

Abstract

Abstract Nowadays, digital watermark protects intellectual property in the digital world. In this article, a new singular value decomposition (SVD) based robust unsighted video watermarking technique is used for protection of copyright or owns individual work. The Singular Value Decomposition is used in this method to embed the information in a video file. In the embedded process the information generally referred to as watermark, which is of the form either audio, text, video, or any binary image or digital image. The embedded information can be identified in this process without considering the mechanisms of the original video, or any other knowledge about the encoded video ‘s main singular values. Singular value decomposition is used in embedding the information as well as retrieving the information from the embedded watermarked video. SVD based robust unsighted video technique shows that it bears required robustness on various attacks like MPEG-2 compressed video, median filtered, small rescaled, and rotational videos. In the experimental result, it is noticed that the unsighted video watermarking technique has visible quality and robustness for various attacks. In which watermark is installed in uniquely chose particular estimations of the video, and the first request can be kept up to recovering the data in our method and it has been indicated roust to different attacks.

Topics & Concepts

Digital watermarkingSingular value decompositionWatermarkRobustness (evolution)Computer scienceComputer visionArtificial intelligenceSingular valueEmbeddingDigital videoDigital imageImage (mathematics)Image processingTelecommunicationsTransmission (telecommunications)GeneChemistryEigenvalues and eigenvectorsQuantum mechanicsPhysicsBiochemistryAdvanced Steganography and Watermarking TechniquesDigital Media Forensic DetectionChaos-based Image/Signal Encryption
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