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 Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology 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: | 08 May 2023 07:50 |
| URI: | http://ir.unimas.my/id/eprint/508 |
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