Abstract:
This paper describes the AcTiVComp: detection and recognition of Arabic Text in Video competition in conjunction with the 23rd International Conference on Pattern Recogni...Show MoreMetadata
Abstract:
This paper describes the AcTiVComp: detection and recognition of Arabic Text in Video competition in conjunction with the 23rd International Conference on Pattern Recognition (ICPR). The main objective of this competition is to evaluate the performance of participants' algorithms to automatically locate and/or recognize overlay text lines in Arabic video frames using the freely available AcTiV dataset. In this first edition of AcTiVComp, four groups with five systems are participating to the competition. In the detection challenge, the systems are compared based on the standard assessment metrics (i.e. recall, precision and F-score). The recognition results evaluation is based on the recognition rates at the character, word and line levels. The systems were tested in a blind manner on the closed-test set of the AcTiV dataset which is unknown to all participants. In addition to the test results, we also provide a short description of the participating groups and their systems.
Date of Conference: 04-08 December 2016
Date Added to IEEE Xplore: 24 April 2017
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