Analysis of a patchwork-based audio watermarking scheme

Natgunanathan, Iynkaran, Xiang, Yong, Elbadry, Suzan S.M., Zhou, Wanlei and Xiang, Yang 2013, Analysis of a patchwork-based audio watermarking scheme, in ICIEA 2013 : Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 900-905, doi: 10.1109/ICIEA.2013.6566495.

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Title Analysis of a patchwork-based audio watermarking scheme
Author(s) Natgunanathan, IynkaranORCID iD for Natgunanathan, Iynkaran
Xiang, YongORCID iD for Xiang, Yong
Elbadry, Suzan S.M.
Zhou, WanleiORCID iD for Zhou, Wanlei
Xiang, YangORCID iD for Xiang, Yang
Conference name IEEE Industrial Electronics and Applications. Conference (8th : 2013 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 19-21 Jun. 2013
Title of proceedings ICIEA 2013 : Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications
Editor(s) [Unknown]
Publication date 2013
Conference series IEEE Conference on Industrial Electronics and Applications
Start page 900
End page 905
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) audio watermarking
probability density function
generalized Gaussian distribution
Summary Recently, a patchwork-based audio watermarking scheme has been proposed in [1], which embeds watermarks by modifying the means of absolute-valued discrete cosine transform (DCT) coefficients corresponding to suitable fragments. This audio watermarking scheme is more robust to common attacks than the existing counterparts. In this paper, we presents a detailed analysis of this audio watermarking scheme. We first derive a probability density function (pdf) of a random variable corresponding to the mean of an absolute-valued DCT fragment. Then, based on the obtained pdf, we show how watermarking parameters affect the performance of the concerned audio watermarking scheme. The analysis result provides a guideline for the selection of watermarking parameters. The effectiveness of our analysis is verified by simulations using a large number of real-world audio segments.
ISBN 1467363227
Language eng
DOI 10.1109/ICIEA.2013.6566495
Field of Research 090609 Signal Processing
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2013, IEEE
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Document type: Conference Paper
Collection: School of Information Technology
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