Graph Fourier Transform Based Audio Zero-Watermarking

The frequent exchange of multimedia information in thepresent era projects an increasing demand for copyright protection. In this work, we propose a novel audio zero-watermarking technology based on graph Fourier transform for enhancing the robustness with respect to copyright protection. In this ap...

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Bibliographic Details
Published in:IEEE signal processing letters 2021, Vol.28, p.1943-1947
Main Authors: Xu, Longting, Huang, Daiyu, Zaidi, Syed Faham Ali, Rauf, Abdul, Das, Rohan Kumar
Format: Article
Language:English
Subjects:
Algorithms
Audio data
Audio watermarking
Discrete cosine transforms
Discrete wavelet transforms
Fourier analysis
Fourier transforms
graph Fourier transform
graph signal processing
Graphical representations
Multimedia
Resists
Synchronism
Synchronization
synchronization attacks
Time-domain analysis
Watermarking
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Summary:The frequent exchange of multimedia information in thepresent era projects an increasing demand for copyright protection. In this work, we propose a novel audio zero-watermarking technology based on graph Fourier transform for enhancing the robustness with respect to copyright protection. In this approach, the combined shift operator is used to construct the graph signal, upon which the graph Fourier analysis is performed. The selected maximum absolute graph Fourier coefficients representing the characteristics of the audio segment are then encoded into a feature binary sequence using K-means algorithm. Finally, the resultant feature binary sequence is XOR-ed with the watermark binary sequence to realize the embedding of the zero-watermarking. The experimental studies show that the proposed approach performs more effectively in resisting common or synchronization attacks than the existing state-of-the-art methods.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2021.3112338