DocumentCode :
3695272
Title :
ICDAR 2015 competition on Robust Reading
Author :
Dimosthenis Karatzas;Lluis Gomez-Bigorda;Anguelos Nicolaou;Suman Ghosh;Andrew Bagdanov;Masakazu Iwamura;Jiri Matas;Lukas Neumann;Vijay Ramaseshan Chandrasekhar;Shijian Lu;Faisal Shafait;Seiichi Uchida;Ernest Valveny
Author_Institution :
Computer Vision Centre, Universitat Autò
fYear :
2015
Firstpage :
1156
Lastpage :
1160
Abstract :
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 Images, 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 with 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 place 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 and the evaluation protocols are presented together with the results and a brief summary of the participating methods.
Keywords :
"Yttrium","IP networks"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type :
conf
DOI :
10.1109/ICDAR.2015.7333942
Filename :
7333942
Link To Document :
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