A Robust Audio Aggregation Watermark Based on Vector Quantization

Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 102)

Abstract

In this paper, vector quantization is applied to protect the audio aggregation’s copyright and a robust watermarking algorithm which takes audio aggregation as carrier has proposed. The quantizer’s input vectors are composed by the audio aggregation’s DCT coefficients, the input vectors are divided into two clusters according to the parity of codeword index, then distributing information ‘0’ and ‘1’ to the two clusters respectively. According to the watermark information and the genus bits of clusters, modify the middle-frequency part of DCT coefficients to embed the watermark. When detected, the watermark can be recovered only by classified the middle-frequency part of DCT coefficients to which clusters without original audio aggregation. The experimental results show the algorithm has good imperceptibility, and has stronger robustness when resist to various attacks such as lossy compression, normalization and so on.

Keywords

Vector quantization Audio aggregation Robust watermark 
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Notes

Acknowledgments

This work is supported by the National Natural Science Foundation of China (60873220), Zhejiang Natural Science Foundation of China (Y108022, Z1090622, Y1090285), Zhejiang Science and Technology Preferred Projects of China (2010C11025), Zhejiang province education department key project of china (ZD2009012), Ningbo science and technology preferred projects of china (2009B10003), Ningbo Key Service Professional education project of china (2010A610115), 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).

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.CKC Software LabNingbo UniversityNingboChina

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