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
Informed detection of audio watermark for resolving playback speed modifications
Proceedings of the 2004 workshop on Multimedia and security
Current State olf the Art, Challenges and Future Directions for Audio Watermarking
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Histogram-based image hashing scheme robust against geometric deformations
Proceedings of the 9th workshop on Multimedia & security
Multiple Scrambling and Adaptive Synchronization for Audio Watermarking
IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Geometrically invariant image watermarking in the DWT domain
WISA'07 Proceedings of the 8th international conference on Information security applications
Audio watermarking algorithm based on centroid and statistical features
ICICS'07 Proceedings of the 9th international conference on Information and communications security
Robust audio watermarking based on low-order zernike moments
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
A robust content based audio watermarking using UDWT and invariant histogram
Multimedia Tools and Applications
Location based robust audio watermarking algorithm for social TV system
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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In audio watermarking, the robustness to desynchronization attacks such as TSM (Time-Scale Modification) operations, is still an open issue. In this paper, both mathematical proof and experimental testing show that the histogram shape (represented as the relative relation in the number of samples among three different histogram bins) and the audio mean are two robust features to the TSM attacks. Accordingly, a multi-bit robust audio watermarking algorithm based on the two statistical features is proposed by modifying the histogram. The audio histogram with equal-sized bins is extracted from a selected amplitude range referred to the audio mean, and then the relative relations in the number of samples among groups of three neighboring bins are designed to carry the watermark by reassigning the number of samples in the bins. The watermarked audio signal is perceptibly similar to the original one. Simulation results demonstrated that the hidden message is very robust to the TSM, cropping, and a variety of other distortions in Stirmark Benchmark for Audio.