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

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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Bibliographic Details
Main Authors: Maciej Kaczyński, Zbigniew Piotrowski
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Sensors
Subjects:
neural network
watermark
deep learning
property verification
copyright protection
video
Online Access:https://www.mdpi.com/1424-8220/22/14/5376

Internet

https://www.mdpi.com/1424-8220/22/14/5376

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