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Similarity detection of image using vector quantization and compression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86088860" target="_blank" >RIV/61989100:27240/13:86088860 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/13:86088860

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Similarity detection of image using vector quantization and compression

  • Original language description

    In every day is a lot of new images and photos get into the internet. Problem of image similarity is up-to-date in image retrieval. There are a lot of methods for comparison of images. We use vector quantization and NCD method for look for similar imagesin collection that vector quantization prepares image files for NCD. In this paper we can show how to convert 2D image into 1D string using by vector quantization and how NCD method is used for image similarity detection.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Przeglad elektrotechniczny

  • ISSN

    0033-2097

  • e-ISSN

  • Volume of the periodical

    89

  • Issue of the periodical within the volume

    11

  • Country of publishing house

    PL - POLAND

  • Number of pages

    3

  • Pages from-to

    62-64

  • UT code for WoS article

  • EID of the result in the Scopus database