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Dynamic Texture Similarity Criterion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F18%3A00321888" target="_blank" >RIV/68407700:21240/18:00321888 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.icpr2018.org/" target="_blank" >http://www.icpr2018.org/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICPR.2018.8545370" target="_blank" >10.1109/ICPR.2018.8545370</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dynamic Texture Similarity Criterion

  • Original language description

    Evaluating the likeness of two similar dynamic textures or dynamic textures of the same type is still a challenging and unresolved problem. Temporal dimension and dynamics in texture complicates the problem of mere texture similarities and makes it even more challenging. A simple approach to compute difference between DTs bag of features, STSIM of pure statistisc methods are insufficient and does not affect the variable texture dynamics which is crucial for human recognition. Testing the similarity, quality and fidelity of both natural and arftificial dynamic textures is a problem that can be solved by psychometric tests with users, but these are challenging both in terms of time, human resources and data processing. The solution provided by us compares the frequency and regularity of the time behavior of spatial frequencies in texture with great consistency with the values provided by users testing. The solution itself provides a functional metric that can be used to evaluate the similarity of textures modified by inpainting, retouching as well as evaluating the similarity of the dynamics across the type of the DTs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2018 24rd International Conference on Pattern Recognition (ICPR)

  • ISBN

    978-1-5386-3788-3

  • ISSN

  • e-ISSN

    1051-4651

  • Number of pages

    6

  • Pages from-to

    904-909

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, NJ

  • Event location

    Beijing

  • Event date

    Aug 20, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000455146800151