ICDAR2017 Competition on Arabic Text Detection and Recognition in Multi-resolution Video Frames

被引:2
|
作者
Zayene, Oussama [1 ,2 ]
Hennebert, Jean [3 ]
Ingold, Rolf [2 ]
BenAmara, Najoua Essoukri [1 ]
机构
[1] Univ Sousse, Natl Engn Sch Sousse Eniso, LATIS Lab, Sousse, Tunisia
[2] Univ Fribourg Unifr, Dept Informat, DIVA Grp, Fribourg, Switzerland
[3] Univ Appl Sci Western Switzerland, HES SO, Inst Complex Syst, Delemont, Switzerland
关键词
Arabic Text Detection; Arabic Text Recognition; Video-OCR; AcTiV dataset; ICDAR competition; HANDWRITING RECOGNITION; KHATT;
D O I
10.1109/ICDAR.2017.238
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes the multi-resolution Arabic Text detection and recognition in Video Competition-AcTiVComp held in the context of the 14th International Conference on Document Analysis and Recognition (ICDAR'2017), during November 9-15, 2017, in Kyoto, Japan. The main objective of this competition is to evaluate the performance of participants' algorithms for automatically detecting and recognizing Arabic texts in video frames using the freely available Arabic-Text-in-Video (AcTiV) dataset. A first edition was held in the framework of the 23rd International Conference on Pattern Recognition (ICPR'2016). Three groups with five systems are participating to the second edition of AcTiVComp. These systems are tested in a blind manner on a closed-subset of the AcTiV database, which is unknown to all participants. In addition to the experimental setup and observed results, we also provide a short description of the participating groups and their systems.
引用
收藏
页码:1460 / 1465
页数:6
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