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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主要作者: Then,, Patrick Hang Hui
格式: Thesis
語言:English
出版: 2007
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在線閱讀:http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf
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spelling my-unimas-ir.5082023-05-08T07:50:52Z Detection-criterion independent proof for digital watermark detection : a support vector machine approach 2007 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 http://ir.unimas.my/id/eprint/508/ http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf text en validuser phd doctoral Universiti Malaysia Sarawak (UNIMAS) Faculty of Computer Science and Information Technology
institution Universiti Malaysia Sarawak
collection UNIMAS Institutional Repository
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Then,, Patrick Hang Hui
Detection-criterion independent proof for digital watermark detection : a support vector machine approach
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.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Then,, Patrick Hang Hui
author_facet Then,, Patrick Hang Hui
author_sort Then,, Patrick Hang Hui
title 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_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_sort detection-criterion independent proof for digital watermark detection : a support vector machine approach
granting_institution Universiti Malaysia Sarawak (UNIMAS)
granting_department Faculty of Computer Science and Information Technology
publishDate 2007
url http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf
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