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Optimizing pooling function for pooled steganalysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00237782" target="_blank" >RIV/68407700:21230/15:00237782 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/WIFS.2015.7368555" target="_blank" >http://dx.doi.org/10.1109/WIFS.2015.7368555</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/WIFS.2015.7368555" target="_blank" >10.1109/WIFS.2015.7368555</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimizing pooling function for pooled steganalysis

  • Original language description

    Pooled steganalysis combines evidence from multiple objects to achieve higher accuracy in detecting hidden messages at the expense of granularity, as the decision is provided on the set of objects instead of a single one. Although it has been introducedalmost decade ago, very little work has been done since then. This work builds upon recent advances in machine learning to show, how an optimal function combining outputs of a single object detector on a set of objects can be learned. Although experiments demonstrate that learned combining functions are superior to the prior art, more importantly they reveal many interesting phenomenons and points to direction of further research.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 7th International Workshop on Forensics and Security

  • ISBN

    978-1-4673-6802-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    IEEE Signal Processing Society

  • Place of publication

    New Jersey

  • Event location

    Rome

  • Event date

    Nov 16, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article