Multimedia Security (eBook, PDF)

Watermarking, Steganography, and Forensics
Redaktion: Shih, Frank Y.

• Format: PDF

Produktbeschreibung

This book provides technical information on multimedia security and steganography as well as the fundamental theoretical framework for developing extensive advanced techniques. By understanding essential principles of multimedia security and steganographic systems, readers can develop novel ideas in implementing advanced algorithms. Topics include automatic detection and removal of visible image watermarks, digital watermarking based on chaotic map and reference register, digital steganographic schemes based on image vector quantization, image inpainting using an enhanced exemplar-based algorithm, and behavior modeling of human objects in multimedia content.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 424
• Erscheinungstermin: 19. Dezember 2017
• Englisch
• ISBN-13: 9781439873328
• Artikelnr.: 38305333

Autorenporträt

Internationally renowned scholar Frank Y. Shih received his BS degree from the National Cheng Kung University, Taiwan, in 1980. He earned an MS degree from the State University of New York, Stony Brook, USA, in 1983, and a Ph.D from Purdue University, West Lafayette, Indiana, USA, in 1987. He is currently a professor at New Jersey Institute of Technology, Newark, jointly appointed in the departments of Computer Science, Electrical and Computer Engineering, and Biomedical Engineering. He is also director of the school's Computer Vision Laboratory.

Inhaltsangabe

Part I: Multimedia Mining and Classification
Multimedia Duplicate Mining toward Knowledge Discovery. Discriminative
Learning-Assisted Video Semantic Concept Classification. An Improved
Feature Vocabulary-Based Method for Image Categorization.
Part II: Watermarking
Automatic Detection and Removal of Visible Image Watermarks. Digital
Watermarking Based on Chaotic Map and Reference Register. A Pseudo-Random
Pixel Rearrangement Algorithm Based on Gaussian Integers for Image
Watermarking. Reversible Data-Hiding Techniques for Digital Images.
Watermarking Based on Local Binary Pattern Operators. Authentication of
JPEG Images Based on Genetic Algorithms. An Efficient Block-Based Fragile
Watermarking System for Tamper Localization and Recovery.
Part III: Steganography
Survey of Image Steganography and Steganalysis. Digital Steganographic
Schemes Based on Image Vector Quantization. A Differential Evolution-Based
Algorithm for Breaking the Visual Steganalytic System. Genetic
Algorithm-Based Methodology for Breaking the Steganalytic Systems.
Part IV: Forensics
Image Inpainting Using an Enhanced Exemplar-Based Algorithm. A Comparison
Study on Copy-Cover Image Forgery Detection. A Chaos-Based Hash Function
with Both Modification Detection and Localization Capabilities. Video
Forensics. Using the Self-Synchronizing Method to Improve Security of the
Multi-Chaotic Systems-Based Image Encryption. Behavior Modeling of Human
Objects in Multimedia Content.