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Multimedia Security: Watermarking, Steganography, and Forensics book cover

1st Edition

Multimedia Security Watermarking, Steganography, and Forensics

Edited By Frank Y. Shih Copyright 2013
424 Pages 208 B/W Illustrations
by CRC Press

424 Pages 208 B/W Illustrations
by CRC Press

424 Pages 208 B/W Illustrations
by CRC Press
Also available as eBook on:
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... Read more

Part I: Multimedia Mining and Classification

Multimedia Duplicate Mining toward Knowledge Discovery, X. Wu, S. Poullot, and S. Satoh

Discriminative Learning-Assisted Video Semantic Concept Classification, Q. Zhu, M.-L. Shyu, and S. Chen

An Improved Feature Vocabulary-Based Method for Image Categorization, F.Y. Shih and A. Sheppard


Part II: Watermarking

Automatic Detection and Removal of Visible Image Watermarks, H. Su, Y. Cheng, and S. Lai

Digital Watermarking Based on Chaotic Map and Reference Register, Y.-T. Wu and F.Y. Shih

A Pseudo-Random Pixel Rearrangement Algorithm Based on Gaussian Integers for Image Watermarking, A. Koval, F.Y. Shih, and B.S. Verkhovsky

Reversible Data-Hiding Techniques for Digital Images, Z.-H. Wang, M.-T. Sun, and C.-C. Chang

Watermarking Based on Local Binary Pattern Operators, W. Zhang and F.Y. Shih

Authentication of JPEG Images Based on Genetic Algorithms, V. Gopal Edupuganti and F.Y. Shih

An Efficient Block-Based Fragile Watermarking System for Tamper Localization and Recovery, V. Gopal Edupuganti, F.Y. Shih, and I-C. Chang


Part III: Steganography

Survey of Image Steganography and Steganalysis, M. Bachrach and F.Y. Shih

Digital Steganographic Schemes Based on Image Vector Quantization, S.D. Lin and S.-C. Shie

A Differential Evolution-Based Algorithm for Breaking the Visual Steganalytic System, F.Y. Shih and V. Gopal Edupuganti

Genetic Algorithm-Based Methodology for Breaking the Steganalytic Systems, Y.-T. Wu and F.Y. Shih


Part IV: Forensics

Image Inpainting Using an Enhanced Exemplar-Based Algorithm,I-C. Chang and C.-W. Hsu

A Comparison Study on Copy-Cover Image Forgery Detection, F.Y. Shih and Y. Yuan

A Chaos-Based Hash Function with Both Modification Detection and Localization Capabilities, D. Xiao, F.Y. Shih, and X. Liao

Video Forensics, H.-R. Tyan and H.-Y. Mark Liao

Using the Self-Synchronizing Method to Improve Security of the Multi-Chaotic Systems-Based Image Encryption, D. Xiao and F.Y. Shih

Behavior Modeling of Human Objects in Multimedia Content, Y. Yin and H. Man

Biography

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.

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