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Image Retrieval for Image Theft Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F07%3A00089873" target="_blank" >RIV/67985556:_____/07:00089873 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Image Retrieval for Image Theft Detection

  • Original language description

    Image retrieval deals with a problem of finding similar pictures in image database. Our task is to find originals of modified images, typically stolen and republished on the web. Our problem is specific in terms of the database size (millions of photos),demanded speed of the search (seconds), and unknown image modifications (loss of quality, radiometric degradation, crop, etc.). Proposed method works in the following tree steps: 1. Image preprocess -- normalization for robustness to the modifications.2. Retrieval of candidates from the database index -- stochastic decision in each vertex of the index tree is used to find the most relevant candidates. 3. Verification of the candidates -- modified phase correlation is used. The method was implemented in practice with very good results. Based on wide experiments, it was shown that the success rate of the search depends on the level of image modification.

  • Czech name

    Image retreval pro detekci krádeží snímků

  • Czech description

    Image retreval pro detekci krádeží snímků

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computer Recognition Systems

  • ISBN

    978-3-540-75174-8

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    44-51

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Wroclaw

  • Event date

    Oct 22, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article