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Next Generation Noise and Affine Invariant Video Watermarking Scheme Using Harris Feature Extraction

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Advances in Computing and Data Sciences (ICACDS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1046))

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Abstract

Digital watermarking always attracts the attention of researchers from early nineties to present scenario, in the ever changing world of digital creation, transmission and modification of information. In this paper we draw our attention towards a next generation of digital watermarking based on specific features of digital information using Harris corner detection (strongest) method. In this scheme first twenty strongest corner points obtained using Harris method are used as a reference for embedding watermark information and to retain the synchronization information after distortions. The scheme is time efficient as only twenty strongest corner points per frame are computed. Hence the proposed scheme is useful for time constrained applications. The experimental results confirms that the suggested scheme show a adequate level of resilience against the majority of image processing attacks together with affine transformations.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Moradabad Institute of Technology, Moradabad, India

    Himanshu Agarwal & Praveen Saini

  2. Department of Electronics and Communication Engineering, Moradabad Institute of Technology, Moradabad, India

    Farooq Husain

Authors
  1. Himanshu Agarwal
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  2. Farooq Husain
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  3. Praveen Saini
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Corresponding author

Correspondence to Himanshu Agarwal .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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Agarwal, H., Husain, F., Saini, P. (2019). Next Generation Noise and Affine Invariant Video Watermarking Scheme Using Harris Feature Extraction. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_61

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  • DOI: https://doi.org/10.1007/978-981-13-9942-8_61

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9941-1

  • Online ISBN: 978-981-13-9942-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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