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A New Watermarking Method for Video Authentication with Tamper Localization

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Computer Vision and Graphics (ICCVG 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12334))

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Abstract

In this paper, a new method for video authentication is proposed. The method is based on construction of watermark images, which serve as a secondary carrier for the binary sequence. A unique watermark image is embedded into the coefficients of Discrete Wavelet Transform of each video frame. The analysis of images extracted from video allows to detect spatial attacks, and the sequence carried by the extracted images provides the ability to determine the type of temporal attack and localize the frames, which are tampered. The experimental study on the method quality and efficiency is conducted. According to the results of experiments, the method is suitable for solving authentication tasks. Furthermore, the method is robust to compression and format re-encoding.

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Acknowledgements

The reported study was funded by RFBR (Russian Foundation for Basic Research): projects No. 19-29-09045, No. 19-07-00474, No. 19-07-00138, No. 20-37-70053.

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Authors and Affiliations

  1. Samara National Research University, Samara, Russia

    Yuliya Vybornova

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  1. Yuliya Vybornova
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Correspondence to Yuliya Vybornova .

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Editors and Affiliations

  1. Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

    Leszek J. Chmielewski

  2. Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

    Ryszard Kozera

  3. Institute of Information Technology, Warsaw University of Life Sciences - SGGW, Warsaw, Poland

    Arkadiusz Orłowski

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Vybornova, Y. (2020). A New Watermarking Method for Video Authentication with Tamper Localization. In: Chmielewski, L.J., Kozera, R., Orłowski, A. (eds) Computer Vision and Graphics. ICCVG 2020. Lecture Notes in Computer Science(), vol 12334. Springer, Cham. https://doi.org/10.1007/978-3-030-59006-2_18

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  • DOI: https://doi.org/10.1007/978-3-030-59006-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59005-5

  • Online ISBN: 978-3-030-59006-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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