DocumentCode
1091298
Title
Image tamper detection and classification using support vector machines
Author
Knowles, H.D. ; Winne, D.A. ; Canagarajah, C.N. ; Bull, D.R.
Author_Institution
Image Commun. Group, Univ. of Bristol, UK
Volume
151
Issue
4
fYear
2004
Firstpage
322
Lastpage
328
Abstract
The use of robust watermarks for attack characterisation is an area of considerable potential which has been largely overlooked to date. The authors extend their earlier work on accurate attack characterisation using a double watermarking technique to include a larger library of attacks. It is shown that the complexity of the double watermarking technique can be reduced with only a very small performance penalty. A further reduction in the algorithm complexity can be achieved by removing the thresholding process from the watermark estimation procedure. Analysis of the nature and location of the characterisation errors for the above methods is also presented.
Keywords
computational complexity; image classification; object detection; support vector machines; watermarking; attack characterisation; complexity reduction; double watermarking technique; image classification; image tamper detection; support vector machines;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:20040750
Filename
1331220
Link To Document