This dissertation describes the design, implementation, and evaluation of
an audio watermarking algorithm on the basis of a statistical mathematical
model. The design of the basic audio watermarking method, relying on
hypothesis testing, is motivated by a discussion of possible application
scenarios determining algorithmic parameters.
To permit an exhaustive evaluation of the method in terms of quality of the
watermarked audio tracks, both subjective listening tests and objective
measurement standards have been applied to the watermarked tracks in
order to verify the obtained quality.
A general approach for a risk analysis of watermarking applications is
presented, analyzing possible attacks and countermeasures during the
deployment of watermarking methods.
Michael Arnold
Audio Watermarking Content Protection Copyright Protection Steganography Watermarking