Digital Watermarking

Digital Watermarking

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This book constitutes the refereed proceedings of the 6th International Workshop, IWDW 2007, held in Guangzhou, China, in December 2007. The 24 revised full papers together with 3 invited papers were carefully reviewed and selected from 81 submissions. The papers are organized in topical sections on watermark security; steganalysis; authentication; reversible data hiding; robust watermarking; poster session; theory and methods in watermarking.In supervised machine learning, the support vector machine (SVM) has been widely used as the classifier. The SVM codes of Matlab are downloaded from [17] . Specifically, we use the radial basis function (RBF) kernel in our experiments.

Title:Digital Watermarking
Author:Yun Q. Shi, Hyoung Joong Kim, Stefan Katzenbeisser
Publisher:Springer - 2008-12-17


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