Name
Abstract | ||
|---|---|---|
A self-synchronization blind audio watermarking, based on wavelet transform is proposed in this paper. A way to estimate attacking parameters watermarked audio may encounter is proposed by using statistics of original audio, and these statistics characteristics can be used as private key for watermark detector. So the watermark detection scheme can make the re-synchronization between the watermark embedding and the detection process without arty additional synchronization code to cause additional noise. The watermark is meaningful to audio signals and is embedded iteratively. Independent Component Analyze is adopted during the watermark detection process for its property of blind signal separation. The detector can also extract multi-embedded watermark, with time tag, it can resolve the problem of multi-embedded watermarks deadlock. Experimental results demonstrated that the proposed audio watermarking technique is robust against many audio processing, such as time scaling, time shift, cropping, low-pass filtering, additive noise, compression. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/MMMC.2006.1651353 | MMM |
Keywords | Field | DocType |
private key,blind signal separation,embedded systems,synchronisation,audio signal processing,synchronization,wavelet transforms,low pass filter,independent component analysis,blind source separation,watermarking,adaptive signal processing,wavelet transform | Audio signal,Computer vision,Digital watermarking,Pattern recognition,Computer science,Filter (signal processing),Watermark,Artificial intelligence,Independent component analysis,Audio signal processing,Blind signal separation,Wavelet transform | Conference |
Volume | Issue | ISSN |
2006 | null | null |
ISBN | Citations | PageRank |
1-4244-0028-7 | 4 | 0.48 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| li zhang | 1 | 101 | 18.22 |
| Chen Li-min | 2 | 4 | 0.48 |
| Gongbin Qian | 3 | 16 | 5.08 |