IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
A novel audio color watermarking scheme based on self-organizing map
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
The multi-bit watermarking method for speech signals in the time-frequency domain
Integrated Computer-Aided Engineering
Audio Watermarking Based on Advanced Wigner Distribution and Important Frequency Peaks
International Journal of High Performance Computing Applications
Copyright-proving scheme for audio with counter-propagation neural networks
Digital Signal Processing
Audio watermarking scheme robust against desynchronization based on the dyadic wavelet transform
EURASIP Journal on Advances in Signal Processing
Robust hashing for music copyright protection by combining beat segmentation and chroma
Proceedings of the international conference on Multimedia
Statistical characteristic-based robust audio watermarking for resolving playback speed modification
Digital Signal Processing
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Robust audio watermarking by using low-frequency histogram
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
An audio watermarking scheme using singular value decomposition and dither-modulation quantization
Multimedia Tools and Applications
A robust content based image watermarking using local invariant histogram
Multimedia Tools and Applications
An SVD audio watermarking approach using chaotic encrypted images
Digital Signal Processing
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
Reversible watermarking for audio authentication based on integer DCT and expansion embedding
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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In audio watermarking area, the robustness against desynchronization attacks, such as TSM (Time-Scale Modification) and random cropping operations, is still one of the most challenging issues. In this paper, we present a multibit robust audio watermarking solution for such a problem by using the insensitivity of the audio histogram shape and the modified mean to TSM and cropping operations. We address the insensitivity property in both mathematical analysis and experimental testing by representing the histogram shape as the relative relations in the number of samples among groups of three neighboring bins. By reassigning the number of samples in groups of three neighboring bins, the watermark sequence is successfully embedded. In the embedding process, the histogram is extracted from a selected amplitude range by referring to the mean in such a way that the watermark will be able to be resistant to amplitude scaling and avoid exhaustive search in the extraction process. The watermarked audio signal is perceptibly similar to the original one. Experimental results demonstrate that the hidden message is very robust to TSM and random cropping attacks, and also has a satisfactory robustness for those common audio signal processing operations.