International Journal of Computational Intelligence Systems

Volume 7, Issue 1, February 2014, Pages 147 - 159

A Novel Audio Aggregation Watermarking Algorithm Based on Copyright Protection

Authors
Rangding Wang, Qian Li, Chao Jin, Juan Li, Yiqun Xiong
Corresponding Author
Rangding Wang
Received 11 September 2012, Accepted 3 July 2013, Available Online 3 February 2014.
DOI
10.1080/18756891.2013.870751How to use a DOI?
Keywords
lifting wavelet, audio aggregation, audio watermarking, random mixing matrix
Abstract

A novel algorithm of audio aggregation watermarking was proposed in this paper for copyright protection. The algorithm not only protects copyright of a single audio in audio aggregation but also protects copyright of the whole audio aggregation. The experimental results showed the watermark of aggregate audio can resist to some attacks, for example, deleting audio, and substituting audio; at the same time, watermark of every single audio is robust to some attacks such as low-filtering, resampling, requantization, noise addition and mp3 compression. The proposed algorithm has good imperceptibility, strong robustness and low complexity.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 1
Pages
147 - 159
Publication Date
2014/02/03
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2013.870751How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Rangding Wang
AU  - Qian Li
AU  - Chao Jin
AU  - Juan Li
AU  - Yiqun Xiong
PY  - 2014
DA  - 2014/02/03
TI  - A Novel Audio Aggregation Watermarking Algorithm Based on Copyright Protection
JO  - International Journal of Computational Intelligence Systems
SP  - 147
EP  - 159
VL  - 7
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.870751
DO  - 10.1080/18756891.2013.870751
ID  - Wang2014
ER  -