Significance of Colors in Texture Datasets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00300885" target="_blank" >RIV/68407700:21230/16:00300885 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Significance of Colors in Texture Datasets
Original language description
This paper studies the significance of color in eight publicly available datasets commonly used for texture recognition through the classification results of "pure-color" and "pure-texture" (color-less) descriptors. The datasets are described using the state-of-the-art color descriptors, Discriminative Color Descriptors (DD) and Color Names (CN). The descriptors are based on partitioning of the color space into clusters and assigning the image probabilities of belonging to individual clusters. We propose a simple extension of the DD and the CN descriptors, adding the standard deviations of color cluster probabilities into the descriptor. The extension leads to a significant improvement in recognition rates on all datasets. On all datasets the 22-dimensional improved CN$^sigma$ descriptor outperforms all original 11-, 25- and 50-dimensional descriptors. Linear combination of the state-of-the-art "pure-texture" classifier with the CN$^sigma$ classifier improves the results on all datasets.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 21st Computer Vision Winter Workshop
ISBN
978-961-90901-7-6
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
—
Publisher name
Slovenian Pattern Recognition Society
Place of publication
Ljubljana
Event location
Rimske Toplice
Event date
Feb 3, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—