Independent component analysis for domain independent watermarking

Stephane Bounkong, David Saad, David Lowe

    Research output: Chapter in Book/Published conference outputChapter

    Abstract

    A new principled domain independent watermarking framework is presented. The new approach is based on embedding the message in statistically independent sources of the covertext to mimimise covertext distortion, maximise the information embedding rate and improve the method's robustness against various attacks. Experiments comparing the performance of the new approach, on several standard attacks show the current proposed approach to be competitive with other state of the art domain-specific methods.
    Original languageEnglish
    Title of host publicationArtificial Neural Networks — ICANN 2002
    EditorsJose R. Dorronso
    Place of PublicationBerlin
    PublisherSpringer
    Pages510-515
    Number of pages6
    Volume2415
    ISBN (Print)9783540440741
    DOIs
    Publication statusPublished - 1 Jan 2002
    EventArtificial Neural Networks 2002 - Madrid, Spain
    Duration: 28 Aug 200230 Aug 2002

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2415 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Conference

    ConferenceArtificial Neural Networks 2002
    Abbreviated titleICANN 2002
    Country/TerritorySpain
    CityMadrid
    Period28/08/0230/08/02

    Bibliographical note

    The original publication is available at www.springerlink.com

    Keywords

    • watermarking framework
    • covertext distortion
    • information embedding rate

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