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Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108742" target="_blank" >RIV/00216305:26220/14:PU108742 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/7296366" target="_blank" >https://ieeexplore.ieee.org/document/7296366</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TSP.2015.7296366" target="_blank" >10.1109/TSP.2015.7296366</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Color Image (Dis)Similarity Assessment and Grouping based on Dominant Colors

  • Original language description

    The computer vision connected to image understanding becomes more and more important in everyday life. This paper concerns the image (dis)similarity assessment and grouping. The main contribution of this paper is the method for image (dis)similarity assessment based on dominant colors. The experimental results showed better results than the Direct Pixel Similarity and Color Histograms and method proved to be capable of detecting images similar to the target image.

  • 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

    2014 37th International Conference on Telecommunications and Signal Processing (TSP)

  • ISBN

    978-80-214-4983-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    756-759

  • Publisher name

    Neuveden

  • Place of publication

    Berlin, Germany

  • Event location

    Berlín

  • Event date

    Jul 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000375231000257