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

This paper describes the multi-resolution Arabic Text detection and recognition in Video Competition-AcTiVComp held in the context of the 14
^th
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 23
^rd
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.