Digital Watermarking

Invited Lectures (Abstracts).- Data Hiding and the Statistics of Images.- The Changing Face of Cryptography.- Forensic Techniques for Image Source Classification: A Comparative Study.- Session I: Robust Watermarking.- Digital Watermarking Schemes Using Multi-resolution Curvelet and HVS Model.- Semi-blind Fingerprinting Utilizing Ordinary Existing Watermarking Techniques.- Robust AVS Audio Watermarking.- Comparative Study of Wavelet Based Lattice QIM Techniques and Robustness against AWGN and JPEG Attacks.- Watermark Embedding and Recovery in the Presence of C-LPCD De-synchronization Attacks.- Session II: Video Watermarking.- A Robust Watermarking for MPEG-2.- Temporal Statistic Based Video Watermarking Scheme Robust against Geometric Attacks and Frame Dropping.- Blind Digital Watermarking of Low Bit-Rate Advanced H.264/AVC Compressed Video.- Session III: Poster Session.- Fast Embedding Technique for Dirty Paper Trellis Watermarking.- A Homomorphic Method for Sharing Secret Images.- Dot-Size Variant Visual Cryptography.- High Capacity Data Hiding in Binary Document Images.- Session IV: Steganography and Steganalysis.- Hiding Information by Context-Based Synonym Substitution.- A Statistical and Iterative Method for Data Hiding in Palette-Based Images.- Estimating the Information Theoretic Optimal Stego Noise.- Multi-class Blind Steganalysis Based on Image Run-Length Analysis.- Session V: Multimedia Watermarking and Security Protocols.- Local Patch Blind Spectral Watermarking Method for 3D Graphics.- Reading Watermarks from Printed Binary Images with a Camera Phone.- A New Approach in Reversible Watermarking.- Classification Framework for Fair Content Tracing Protocols.- Session VI: Image Forensics and Authentication.- Fragile Watermarking Scheme with Extensive Content Restoration Capability.- Improving Capability of Locating Tampered Pixels of Statistical Fragile Watermarking.- Camera-Model Identification Using Markovian Transition Probability Matrix.- A Survey of Passive Image Tampering Detection.- An Enhanced Statistical Approach to Identifying Photorealistic Images.