Detection-criterion independent proof for digital watermark detection : a support vector machine approach

Then,, Patrick Hang Hui (2007) Detection-criterion independent proof for digital watermark detection : a support vector machine approach. PhD thesis, Universiti Malaysia Sarawak (UNIMAS).

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Abstract

Perceiving digital watermark detection as image classification problem stands as the basic of the detector criterion independent zero-knowledge watermark detection proof using Support Vector Machine (SVM). In-depth insights are given to using SVM to enable detection criterion independent zero-knowledge watermark detection protocol. The existing zero-knowledge watermark detection protocols are analysed and re-designed to be detection criterion independent zero-knowledge watermark detection protocol.

Item Type: Thesis (PhD)
Additional Information: Thesis (Ph.D.) -- Universiti Malaysia Sarawak, 2007.
Uncontrolled Keywords: watermark detection, support vector machine, Universiti Malaysia Sarawak, UNIMAS, postgraduate, research, IPTA, education, kuching, samarahan, sarawak, malaysia, universiti, university
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 30 Dec 2013 06:38
Last Modified: 04 Mar 2020 07:22
URI: http://ir.unimas.my/id/eprint/508

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