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A Robust and Secure Media Signature Scheme for JPEG Images

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Journal of VLSI signal processing systems for signal, image and video technology Aims and scope Submit manuscript

Abstract

In [1–3], we have briefly introduced a robust and secure digital signature solution for multimedia content authentication, by integrating content feature extraction, error correction coding (ECC), watermarking and cryptographic signature into one unified framework. In this paper, we first study the difference between two types of distortions, namely incidental distortions which come from the defined acceptable content manipulations such as lossy compression, and intentional distortions which come from real attacks such as content copy-paste. We then introduce a new JPEG-compliant solution under our proposed framework but with different ECC and watermarking methods. Finally system performance evaluation and analysis will be given to further demonstrate the practicability of our method.

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Authors and Affiliations

  1. Institute for Infocomm Research (I2R), 21 Heng Mui Keng Terrace, 119613, Singapore

    Qibin Sun

  2. Department of Electrical Engineering, Columbia University, New York City, NY, 10027, USA

    Shih-Fu Chang

Authors
  1. Qibin Sun
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  2. Shih-Fu Chang
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Correspondence to Qibin Sun.

Additional information

Qibin Sun received his Doctoral degree in Electrical Engineering, from University of Science and Technology of China, P. R. China, in 1997. Since 1996, he is with the Institute for InfoComm Research, Singapore, where he is responsible for industrial as well as academic research projects in the area of face recognition, media security, image and video analysis. He worked in Columbia University during 2000-2001, as a research scientist.

Shih-Fu Chang is currently a Professor at the Department of Electrical Engineering of Columbia University. He leads Columbia University's Digital Video/Multimedia Lab (http://www.ee.columbia.edu/dvmm) and ADVENT industry-university consortium, conducting research in multimedia indexing, pervasive media, and media rights management. In addition to developing new theories and algorithms, he is also interested in applying video technology to various domains, such as a video digital library currently funded by the 5-year NSF DLI-2 initiative, a Digital News project, and a live sports video filtering project. Through collaboration with industry partners, his group has made major contributions to the development of MPEG-7 multimedia description schemes and the TREC video benchmark events. Prof. Chang actively participates in professional activities. He served as a general co-chair of ACM 8th Multimedia Conference 2000 and will participate as a Conference Co-Chair in IEEE ICME 2004. He has been a consultant in several media technology companies, and a Distinguished Lecturer in IEEE Society of Circuits and Systems. He has received a Young Investigator Award from Navy ONR, a Faculty Development Award from IBM, a CAREER Award from National Science Foundation, and three Best Paper Awards from IEEE, ACM, and SPIE in the areas of multimedia indexing and manipulation. He has also supervised several research works receiving best student paper awards in recent years.

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Sun, Q., Chang, SF. A Robust and Secure Media Signature Scheme for JPEG Images. J VLSI Sign Process Syst Sign Image Video Technol 41, 305–317 (2005). https://doi.org/10.1007/s11265-005-4154-0

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  • DOI: https://doi.org/10.1007/s11265-005-4154-0

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