Издательство CRC Press, 2013, -411 pp.Multimedia Security: Watermarking, Steganography, and Forensics outlines essential principles, technical information, and expert insights on multimedia security technology used to prove that content is authentic and has not been altered. Illustrating the need for improved content security as the Internet and digital multimedia applications rapidly evolve, this book presents a wealth of everyday protection application examples in fields including multimedia mining and classification, digital watermarking, steganography, and digital forensics.
Giving readers an in-depth overview of different aspects of information security mechanisms and methods, this resource also serves as an instructional tool on how to use the fundamental theoretical framework required for the development of extensive advanced techniques. The presentation of several robust algorithms illustrates this framework, helping readers to quickly master and apply fundamental principles.
Presented case studies cover:
The execution (and feasibility) of techniques used to discover hidden knowledge by applying multimedia duplicate mining methods to large multimedia content.
Different types of image steganographic schemes based on vector quantization.
Techniques used to detect changes in human motion behavior and to classify different types of small-group motion behavior.
Useful for students, researchers, and professionals, this book consists of a variety of technical tutorials that offer an abundance of graphs and examples to powerfully convey the principles of multimedia security and steganography. Imparting the extensive experience of the contributors, this approach simplifies problems, helping readers more easily understand even the most complicated theories. It also enables them to uncover novel concepts involved in the implementation of algorithms, which can lead to the discovery of new problems and new means of solving them.Part I Multimedia Mining and Classification
Multimedia Duplicate Mining toward Knowledge Discovery
Discriminative Learning-Assisted Video Semantic Concept Classification
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
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
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
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
