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.