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Watermark Synchronization Based on Locally Most Stable Feature Points

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6422))

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Abstract

A novel feature based watermark synchronization scheme is presented in this paper. The feature points are first extracted from the image and the idea of locally most stable feature points (LMSP) is proposed to generate some non-overlapped circular areas. The local regions are geometrically invariant so that they can be directly used for efficient watermark embedding and extraction. Simulation results have demonstrated the effectiveness of the proposed scheme.

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Author information

Authors and Affiliations

  1. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, 221116, P.R. China

    Jiansheng Qian, Leida Li & Zhaolin Lu

Authors
  1. Jiansheng Qian
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  2. Leida Li
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  3. Zhaolin Lu
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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© 2010 Springer-Verlag Berlin Heidelberg

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Qian, J., Li, L., Lu, Z. (2010). Watermark Synchronization Based on Locally Most Stable Feature Points. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16732-4_33

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  • DOI: https://doi.org/10.1007/978-3-642-16732-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16731-7

  • Online ISBN: 978-3-642-16732-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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