IBM Systems Journal
Robust audio watermarking using perceptual masking
Signal Processing
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Robust Covert Communication over a Public Audio Channel Using Spread Spectrum
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Improving Audio Watermark Robustness Using Stretched Patterns against Geometric Distortion
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
StirMark Benchmark: Audio Watermarking Attacks
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Audio watermarking by time-scale modification
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Perceptual audio hashing functions
EURASIP Journal on Applied Signal Processing
Time-scale invariant audio watermarking based on the statistical features in time domain
IH'06 Proceedings of the 8th international conference on Information hiding
Transactions on Data Hiding and Multimedia Security I
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
Audio watermarking under desynchronization and additive noise attacks
IEEE Transactions on Signal Processing
Robust audio watermarking in the time domain
IEEE Transactions on Multimedia
Localized audio watermarking technique robust against time-scale modification
IEEE Transactions on Multimedia
Histogram-Based Audio Watermarking Against Time-Scale Modification and Cropping Attacks
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
Invariant Image Watermarking Based on Statistical Features in the Low-Frequency Domain
IEEE Transactions on Circuits and Systems for Video Technology
An improved section-wise exploiting modification direction method
Signal Processing
An adaptive audio watermarking based on the singular value decomposition in the wavelet domain
Digital Signal Processing
Statistical characteristic-based robust audio watermarking for resolving playback speed modification
Digital Signal Processing
High capacity audio watermarking using the high frequency band of the wavelet domain
Multimedia Tools and Applications
An audio watermarking scheme using singular value decomposition and dither-modulation quantization
Multimedia Tools and Applications
Blind and robust audio watermarking scheme based on SVD-DCT
Signal Processing
High capacity FFT-based audio watermarking
CMS'11 Proceedings of the 12th IFIP TC 6/TC 11 international conference on Communications and multimedia security
A dual cepstrum-based watermarking scheme with self-synchronization
Signal Processing
A robust content based audio watermarking using UDWT and invariant histogram
Multimedia Tools and Applications
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In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108] by modifying the shape of histogram extracted from the time domain, here we consider the additional ingredient of resisting common signal processing operations, such as MP3 compression. In other words, we study the problem of the watermark against both TSM and lossy compression. To this end, in this paper we transfer the shape of audio histogram in the time domain to the low-frequency subband by: (i) segmenting an audio signal into portions in reference to the bin width of the time-domain histogram, (ii) concatenating the portions in each bin, and (iii) DWT filtering the concatenation of the portions in each bin. The watermark is inserted by shaping the histogram after the DWT by reassigning population in each group of three consecutive bins. Extensive testing shows that in comparison with the time-domain scheme [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108], the proposed DWT-based watermarking method is more robust to TSM, MP3 compression, etc.