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A Benchmark for Burst Color Constancy

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346892" target="_blank" >RIV/68407700:21230/20:00346892 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-67070-2_22" target="_blank" >https://doi.org/10.1007/978-3-030-67070-2_22</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-67070-2_22" target="_blank" >10.1007/978-3-030-67070-2_22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Benchmark for Burst Color Constancy

  • Original language description

    Burst Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - shot frame - to estimate the scene illumination color. In burst CC, multiple frames from the view finder sequence are used to estimate the color of the shot frame. However, there are no realistic large-scale color constancy datasets with sequence input for method evaluation. In this work, a new such CC benchmark is introduced. The benchmark comprises of (1) 600 real-world sequences recorded with a high-resolution mobile phone camera, (2) a fixed train-test split which ensures consistent evaluation, and (3) a baseline method which achieves high accuracy in the new benchmark and the dataset used in previous works. Results for more than 20 well-known color constancy methods including the recent state-of-the-arts are reported in our experiments.

  • 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

    <a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • 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 Vision – ECCV 2020 Workshops, Part III

  • ISBN

    978-3-030-67069-6

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    17

  • Pages from-to

    359-375

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Glasgow

  • Event date

    Aug 23, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article