Multimedia Security

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.

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.