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 :
بازگشت