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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Bibliographic Details
Main Author:	Then,, Patrick Hang Hui
Format:	Thesis
Language:	English
Published:	2007
Subjects:	QA76 Computer software
Online Access:	http://ir.unimas.my/id/eprint/508/2/Detection-criterion%20independent%20proof%20for%20digital%20watermark.....pdf
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id	my-unimas-ir.508
record_format	uketd_dc
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
_version_	1783727890845663232

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

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