ICDAR 2015 competition on Robust Reading
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235514" target="_blank" >RIV/68407700:21230/15:00235514 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICDAR.2015.7333942" target="_blank" >http://dx.doi.org/10.1109/ICDAR.2015.7333942</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICDAR.2015.7333942" target="_blank" >10.1109/ICDAR.2015.7333942</a>
Alternative languages
Result language
angličtina
Original language name
ICDAR 2015 competition on Robust Reading
Original language description
Results of the ICDAR 2015 Robust Reading Competition are presented. A new Challenge 4 on Incidental Scene Text has been added to the Challenges on Born-Digital Im ages, Focused Scene Images and Video Text. Challenge 4 is run on a newly acquired dataset of 1,670 images evaluating Text Localisation, Word Recognition and End-to-End pipelines. In addition, the dataset for Challenge 3 on Video Text has been substantially updated wi th more video sequences and more accurate ground truth data. Finally, tasks assessing End -to-End system performance have been introduced to all Challenges. The competition took p lace in the first quarter of 2015, and received a total of 44 submissions. Only the tasks newly introduced in 2015 are reported on. The datasets, the ground truth specification a nd the evaluation protocols are presented together with the results and a brief summary o f the participating methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
ISBN
978-1-4799-1805-8
ISSN
1520-5363
e-ISSN
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Number of pages
5
Pages from-to
1156-1160
Publisher name
IEEE
Place of publication
Piscataway
Event location
Nancy
Event date
Aug 23, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000381461400229