Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12617)
Part of the book sub series: Security and Cryptology (LNSC)
Included in the following conference series:
Conference proceedings info: IWDW 2020.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (20 papers)
-
Steganography and Steganalysis
-
Watermarking
-
Multimedia Forensics
Other volumes
-
Digital Forensics and Watermarking
Keywords
- artificial intelligence
- computer networks
- computer science
- computer security
- computer systems
- computer vision
- cryptography
- data security
- engineering
- image analysis
- image coding
- image compression
- image processing
- image quality
- image reconstruction
- image segmentation
- imaging systems
- internet
- machine learning
- signal processing
About this book
The 20 full papers in this volume were carefully reviewed and selected from 43 submissions. They cover topics such as: novel research, development and application of digital watermarking and forensics techniques for multimedia security.
Editors and Affiliations
Bibliographic Information
Book Title: Digital Forensics and Watermarking
Book Subtitle: 19th International Workshop, IWDW 2020, Melbourne, VIC, Australia, November 25–27, 2020, Revised Selected Papers
Editors: Xianfeng Zhao, Yun-Qing Shi, Alessandro Piva, Hyoung Joong Kim
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-69449-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-69448-7Published: 12 February 2021
eBook ISBN: 978-3-030-69449-4Published: 11 February 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 281
Number of Illustrations: 21 b/w illustrations, 94 illustrations in colour
Topics: Cryptology, Information Systems Applications (incl. Internet), Machine Learning, Computing Milieux, Systems and Data Security, Image Processing and Computer Vision