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A video watermark algorithm based on tensor decomposition.

Shan Qing Zhang1, Yun Xiao Guo1, Ghua Xian Xu1

  • 1School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China.

Mathematical Biosciences and Engineering : MBE
|September 11, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel blind video watermarking algorithm using tensor decomposition. The method enhances robustness against frame attacks by leveraging video frame correlations, improving imperceptibility and security.

Keywords:
Video watermarkparity quantizationtensortensor decompositiontucker decomposition

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Area of Science:

  • Computer Science
  • Digital Signal Processing
  • Information Security

Background:

  • Traditional video watermarking often treats videos as image sequences, neglecting inter-frame correlations.
  • This approach leads to vulnerability against frame-specific attacks.
  • Existing methods lack robustness and imperceptibility.

Purpose of the Study:

  • To propose a blind video watermarking algorithm that enhances robustness by utilizing video frame correlations and redundancy.
  • To improve resilience against common video attacks, particularly frame attacks.
  • To achieve better imperceptibility and security in digital video watermarking.

Main Methods:

  • Representing grayscale videos as 3-order tensors for analysis.
  • Employing tensor decomposition to extract a core tensor representing video energy.
  • Embedding watermarks by quantifying stable maximum values in the core tensor.
  • Utilizing inverse tensor decomposition for uniform watermark distribution across frames.

Main Results:

  • The proposed tensor decomposition-based algorithm demonstrates superior robustness against various video attacks.
  • Experimental results confirm enhanced imperceptibility compared to existing methods.
  • The algorithm effectively utilizes video frame correlations for secure watermarking.

Conclusions:

  • Tensor decomposition provides an effective framework for blind video watermarking.
  • The algorithm offers a significant improvement in robustness and imperceptibility.
  • This method addresses the limitations of image-based watermarking by considering video's temporal structure.