Fast Text vs. Non-text Classification of Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354242" target="_blank" >RIV/68407700:21230/21:00354242 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-86337-1_2" target="_blank" >https://doi.org/10.1007/978-3-030-86337-1_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-86337-1_2" target="_blank" >10.1007/978-3-030-86337-1_2</a>
Alternative languages
Result language
angličtina
Original language name
Fast Text vs. Non-text Classification of Images
Original language description
We propose a fast method for classifying images as containing text, or with no scene text. The typical application is in processing large image streams, as encountered in social networks, for detection and recognition of scene text. The proposed classifier efficiently removes non-text images from consideration, thus allowing to apply the potentially computationally heavy scene text detection and OCR on only a fraction of the images.
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICDAR2021: 16th IAPR International Conference on Document Analysis and Recognition
ISBN
978-3-030-86336-4
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
15
Pages from-to
18-32
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Lausanne
Event date
Sep 5, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000711880100002