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

Internet

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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