Transactions on Data Hiding and Multimedia Security VI

1. Front Matter

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2. Content Protection and Forensics

   1. Markovian Rake Transform for Digital Image Tampering Detection

      • Patchara Sutthiwan, Yun Q. Shi, Hong Zhao, Tian-Tsong Ng, Wei Su

      Pages 1-17

   2. Embedding Binary Watermarks in Dual-Tree Complex Wavelets Domain for Access Control of Digital Images

      • Huijuan Yang, Xudong Jiang, Alex C. Kot

      Pages 18-36

   3. Robust Watermarking of Compressed JPEG Images in Encrypted Domain

      • Subramanyam A.V., Sabu Emmanuel

      Pages 37-57

   4. A Progressive Quality Hiding Strategy Based on Equivalence Partitions of Hiding Units

      • Shaohui Liu, Hongxun Yao, Shengping Zhang, Wen Gao

      Pages 58-82

3. Regular Paper

   1. Histogram-Based Image Hashing for Searching Content-Preserving Copies

      • Shijun Xiang, Hyoung Joong Kim

      Pages 83-108

4. Back Matter

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Since the mid 1990s, data hiding has been proposed as an enabling technology for securing multimedia communication, and is now used in various applications including broadcast monitoring, movie fingerprinting, steganography, video indexing and retrieval, and image authentication. Data hiding and cryptographic techniques are often combined to complement each other, thus triggering the development of a new research field of multimedia security. Besides, two related disciplines, steganalysis and data forensics, are increasingly attracting researchers and becoming another new research field of multimedia security. This journal, LNCS Transactions on Data Hiding and Multimedia Security, aims to be a forum for all researchers in these emerging fields, publishing both original and archival research results. This issue consists mainly of a special section on content protection and forensics including four papers. The additional paper deals with histogram-based image hashing for searching content-preserving copies.

• color image forgery detection
• digital watermarking
• encrypted domain watermarking
• geometric deformation
• image hashing
• algorithm analysis and problem complexity

• New Jersey Institute of Technology, University Heights, Newark, USA

  Yun Q. Shi

• Nanyang Technological University, Singapore

  Sabu Emmanuel

• National University of Singapore, Singapore

  Mohan S. Kankanhalli

• Columbia University, NewYork, USA

  Shih-Fu Chang

• Dolby Laboratories, San Francisco, USA

  Regunathan Radhakrishnan

• Philips Research, Shanghai, China

  Fulong Ma

• Tsinghua Universityy, Beijing, China

  Li Zhao

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