Description: Multimedia Forensics, Paperback by Sencar, Husrev Taha (EDT); Verdoliva, Luisa (EDT); Memon, Nasir (EDT), ISBN 9811676232, ISBN-13 9789811676239, Brand New, Free P&P in the UK
This book is open access. Media forensics has never been more relevant to societal life. Not only media content represents an ever-increasing share of the data traveling on the net and the preferred communications means for most users, it has also become integral part of most innovative applications in the information ecosystem that serves various sectors of society, from the entertainment, to journalism, to politics. Undoubtedly, the advances in deep learning and computational imaging contributed significantly to this outcome. The underlying technologies that drive this trend, however, also pose a profound challenge in establishing trust in what we see, hear, and read, and make media content the preferred target of malicious attacks.
In this new threat landscape powered by innovative imaging technologies and sophisticated tools, based on autoencoders and generative adversarial networks, this book fills an important gap. It presents a comprehensive review of state-of-the-art forensics capabilities that relate to media attribution, integrity and authenticity verification, and counter forensics. Its content is developed to provide practitioners, researchers, photo and video enthusiasts, and students a holistic view of the field.
Price: 41.87 GBP
Location: Castle Donington
End Time: 2025-01-14T15:13:51.000Z
Shipping Cost: 20.11 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Book Title: Multimedia Forensics
Number of Pages: 515 Pages
Publication Name: Multimedia Forensics
Language: English
Publisher: Springer Verlag, Singapore
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2022
Type: Textbook
Author: Nasir Memon, Luisa Verdoliva, Husrev Taha Sencar
Item Width: 155 mm
Series: Advances in Computer Vision and Pattern Recognition
Format: Paperback