DNN-Based Forensic Watermark Tracking System for Realistic Content Copyright Protection

Autor:	Jaehyoung Park, Jihye Kim, Jiyou Seo, Sangpil Kim, Jong-Hyouk Lee
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Computer Networks and Communications Hardware and Architecture Control and Systems Engineering Signal Processing copyright illegal 3D content Electrical and Electronic Engineering forensic watermark artificial intelligence tracking system
Zdroj:	Electronics Volume 12 Issue 3 Pages: 553
ISSN:	2079-9292
DOI:	10.3390/electronics12030553
Popis:	The metaverse-related content market is active and the demand for immersive content is increasing. However, there is no definition for granting copyrights to the content produced using artificial intelligence and discussions are still ongoing. We expect that the need for copyright protection for immersive content used in the metaverse environment will emerge and that related copyright protection techniques will be required. In this paper, we present the idea of 3D-to-2D watermarking so that content creators can protect the copyright of immersive content available in the metaverse environment. We propose an immersive content copyright protection using a deep neural network (DNN), a neural network composed of multiple hidden layers, and a forensic watermark.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2323290ea7469405119c011ffcb2875 Zobrazit plný text záznamu