• 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