Survey on watermarking methods in the artificial intelligence domain and beyond

被引：45

作者：

Amrit, Preetam ^{[1
]}

Singh, Amit Kumar ^{[1
]}

机构：

[1] Natl Inst Technol Patna, Dept Comp Sci & Engn, Patna, Bihar, India

来源：

COMPUTER COMMUNICATIONS | 2022年 / 188卷

关键词：

Artificial intelligence; Machine; deep learning; Cyber physical systems; Digital watermarking; Images; Copyright protection; NATURAL-LANGUAGE WATERMARKING; FUZZY INFERENCE SYSTEM; NEURAL-NETWORKS; ROBUST WATERMARKING; DISCRETE WAVELET; MEDICAL IMAGES; MACHINE; ALGORITHM; MARKING; SCHEME;

D O I：

10.1016/j.comcom.2022.02.023

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, machine/deep learning has become a promising solution for some intelligent tasks. It can be actively used for watermarking but less so for conventional tasks such as prediction, classification and regression. This article presents a comprehensive study on watermarking using trending technologies, such as artificial intelligence, machine learning and deep learning. Also, it briefly discusses the introduction of watermarking, background information and the most interesting and utilized applications. The major role of trending technologies in watermarking has also been highlighted. The contribution of the surveyed scheme is also summarized and compared for different technical perspectives. Lastly, the article highlights recent challenges and directions of potential research that could fill gaps in this area for researchers and developers.

引用

页码：52 / 65

页数：14

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