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Automatic Hair Color De-identification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115975" target="_blank" >RIV/00216305:26220/15:PU115975 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7380559?section=abstract" target="_blank" >https://ieeexplore.ieee.org/document/7380559?section=abstract</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICGCIoT.2015.7380559" target="_blank" >10.1109/ICGCIoT.2015.7380559</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Hair Color De-identification

  • Original language description

    A process of de-identification used for privacy protection in multimedia content should be applied not only for primary biometric traits (face, voice) but for soft biometric traits as well. This paper deals with a proposal of the automatic hair color de-identification method working with video records with frontal facial view. The proposed method allows mutual conversion of hair color between five basic colors (black, brown, blonde, red, grey/white). The method involves image hair area segmentation, which is based on motion estimation, face and facial features detecting and skin segmentation. Further basic hair color recognition is performed to estimate appropriate algorithm for modification of the hair color achieving real-looking de-identified images.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    ICGCIoT - International CConference of Green Computing and Internet of Things 2015

  • ISBN

    978-1-4673-7909-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    732-736

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Greater Noida, India

  • Event date

    Oct 8, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000380517100143