Yayınlanmış 1 Ocak 2006
| Sürüm v1
Konferans bildirisi
Açık
Perceptual audio watermarking by learning in wavelet domain
Oluşturanlar
- 1. Tech Univ Istanbul, Dept Elect & Commun Eng, TR-34469 Istanbul, Turkey
Açıklama
Conventional blind watermark (WM) decoding schemes use correlation-based decision rules because of their simplicity. Drawback of the correlator decoders is their performance relies on the decision threshold. Existence of an undesirable correlation between the WM data embedded through a secret key and the host signal makes the decision threshold specification harder, especially in noisy channels. To overcome this drawback, we propose a SVM-based decoding scheme which is capable of learning the embedded WM data in wavelet domain. It is shown that both decoding and detection performance of the introduced WM extraction technique outperforms state-of-the-art correlation-based schemes. Test results demonstrate that learning in the wavelet domain improves robustness to attacks while reducing complexity.
Dosyalar
bib-b0376b8f-301e-4cb4-a4eb-c5780a1146cd.txt
Dosyalar
(165 Bytes)
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165 Bytes | Ön İzleme İndir |