Title :
A Robust, Digital-Audio Watermarking Method
Author :
Wang, Xiang-Yang ; Niu, Pan-Pan ; Yang, Hong-Ying
Author_Institution :
Liaoning Normal Univ., Dalian, China
Abstract :
Most of the previous audio-watermarking schemes are robust to common signal-processing attacks, but show severe problems when faced with desynchronization attacks. To solve the problems associated with these approaches, we propose an audio-watermarking scheme based on support-vector-machine (SVM) theory to protect against desynchronization attacks by using audio statistics characteristics and a synchronization code technique. Experimental results with SVM show that our proposed scheme is inaudible, robust against common signal processing, and robust against desynchronization attacks.
Keywords :
audio coding; learning (artificial intelligence); statistical analysis; support vector machines; synchronisation; watermarking; SVM; audio statistics characteristics; desynchronization attack; digital audio watermarking method; machine learning; signal processing attack; support vector machine; synchronization code technique; Authentication; Copyright protection; Electronic commerce; Fingerprint recognition; Robustness; Signal processing; Spread spectrum communication; Support vector machine classification; Support vector machines; Watermarking; audio statistics characteristics; audio watermarking; desynchronization attack; multimedia and graphics; support vector machine; synchronization code;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2009.44
