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High-Quality Video Watermarking Based on Deep Neural Networks and Adjustable Subsquares Properties Algorithm

This paper presents a method of high-capacity and transparent watermarking based on the usage of deep neural networks with the adjustable subsquares properties algorithm to encode the data of a watermark in high-quality video using the H.265/HEVC (High-Efficiency Video Coding) codec. The aim of the...

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Detalles Bibliográficos
Autores principales:	Kaczyński, Maciej, Piotrowski, Zbigniew
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319846/ https://www.ncbi.nlm.nih.gov/pubmed/35891057 http://dx.doi.org/10.3390/s22145376

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