Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The nature of statistical learning theory
The nature of statistical learning theory
Decrypted secrets: methods and maxims of cryptology
Decrypted secrets: methods and maxims of cryptology
Robust image watermarking in the spatial domain
Signal Processing
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
The first 50 years of electronic watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
An SVD-based audio watermarking technique
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
A robust watermarking system based on SVD compression
Proceedings of the 2006 ACM symposium on Applied computing
Robust spread-spectrum audio watermarking
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
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A new system that employs artificial neural networks to identify perceptually masked transmission opportunities within an audio stream is presented. The neural network is trained to automatically extract the perceptual map of the human auditory system. The network is then used at the encoding end to identify opportunities for transmission of inaudible data into the voice stream. At the decoding end, the network is used to monitor the audio channel for presence of masked data. Increased data transmission rates, resistance to compression algorithms and increased processing gains are among the advantages of the proposed solution.