Abstract
Watermarking technology can achieve multipurpose such as copyright protection, copy protection, and integrity authentication. We propose a novel watermarking approach which involves robust watermark and fragile watermark in a two-stage quantization technique. Traditional watermarking algorithms mostly have poor performance in imperceptibility as the codeword selected from the modified codebook is not optimal. In our method, we select the codeword in the original codebook to ensure optimality. Furthermore, we use Huffman encoding to pick up property which is sensitive to many attacks in the entire aggregation. For copyright protection, the proposed scheme can resist attacks such as lossy compression, noise addition, and normalization. As for content authentication, the proposed scheme is sensitive to various attacks provided by Stirmark Benchmark for Audio. Experimental results show that the proposed method can be used respectively for protecting the copyright and authenticating the integrity of the audio aggregation.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (60873220,61170137), Doctoral Fund of Ministry of Education of China(20103305110002), Zhejiang Natural Science Foundation of China (Y108022, Z1090622, Y1090285), Zhejiang Science & Technology Preferred Projects of China (2010 C11025), Zhejiang Province Education Department Key Project of China (ZD2009012), Ningbo Science & Technology Preferred Projects of China (2009B10003), Ningbo Key Service Professional Education Project of China (2010A610115), Scientific Research Fund of Zhejiang Provincial Education Department (Y201119434), Key Innovation Team of Zhejiang Province (C01416124200), The Outstanding (Postgraduate) Dissertation Growth Foundation of Ningbo University (10Y20100002) Ningbo Natural Science Foundation (2009A610085) and Ningbo University Foundation (XYL10002, XK1087). In addition, our programs are supported by High School Special Fields Construction of Computer Science and Technology (TS10860), Zhejiang Province Excellent Course Project (2007), Zhejiang Province Key Teaching Material Construction Project (ZJB2009074). This work is sponsored by K.C. Wong Magna Fund in Ningbo University.
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Li, J., Wang, R., Yan, D. et al. A multipurpose audio aggregation watermarking based on multistage vector quantization. Multimed Tools Appl 68, 571–593 (2014). https://doi.org/10.1007/s11042-012-1058-4
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DOI: https://doi.org/10.1007/s11042-012-1058-4