Detection-criterion independent proof for digital watermark detection : a support vector machine approach
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-knowle...
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| Format: | Thesis |
| Language: | English |
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Faculty of Computer Science and Information Technology
2007
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| Online Access: | http://ir.unimas.my/id/eprint/508/ http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf |
| _version_ | 1848834555778170880 |
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| author | Then,, Patrick Hang Hui |
| author_facet | Then,, Patrick Hang Hui |
| author_sort | Then,, Patrick Hang Hui |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T05:53:51Z |
| format | Thesis |
| id | unimas-508 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T05:53:51Z |
| publishDate | 2007 |
| publisher | Faculty of Computer Science and Information Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-5082023-05-08T07:50:52Z http://ir.unimas.my/id/eprint/508/ Detection-criterion independent proof for digital watermark detection : a support vector machine approach Then,, Patrick Hang Hui QA76 Computer software 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. Faculty of Computer Science and Information Technology 2007 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf Then,, Patrick Hang Hui (2007) Detection-criterion independent proof for digital watermark detection : a support vector machine approach. PhD thesis, Universiti Malaysia Sarawak (UNIMAS). |
| spellingShingle | QA76 Computer software Then,, Patrick Hang Hui Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title | Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_full | Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_fullStr | Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_full_unstemmed | Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_short | Detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| title_sort | detection-criterion independent proof for digital watermark detection : a support vector machine approach |
| topic | QA76 Computer software |
| url | http://ir.unimas.my/id/eprint/508/ http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf |