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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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