208 black & white illustrations, 48 black & white tables
Frank Y. Shih
Unsewn / adhesive bound
Table Of Contents
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
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.