Open datasets and tools for arabic text detection and recognition in news video frames

Zayene, Oussama (LATIS Lab, National engineering School of Sousse (Eniso), University of Sousse, Sousse, Tunisia ; DIVA group, Department of Inforamtics, University of Fribourg, Fribourg, Switzerland) ; Touj, Sameh Masmoudi (LATIS Lab, National Engineeering School of Sousse (Eniso), Sousse, Tunisia) ; Hennebert, Jean (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Ingold, Rolf (DIVA group, Departmeent of Informatics, University of Fribourg, Fribourg, Switzerland) ; Essoukri Ben Amara, Najoua (LATIS Lab, National Engineering School of Sousse (Eniso), Sousse, Tunisia)

Recognizing texts in video is more complex than in other environments such as scanned documents. Video texts appear in various colors, unknown fonts and sizes, often affected by compression artifacts and low quality. In contrast to Latin texts, there are no publicly available datasets which cover all aspects of the Arabic Video OCR domain. This paper describes a new well-defined and annotated Arabic-Text-in-Video dataset called AcTiV 2.0. The dataset is dedicated especially to building and evaluating Arabic video text detection and recognition systems. AcTiV 2.0 contains 189 video clips serving as a raw material for creating 4063 key frames for the detection task and 10,415 cropped text images for the recognition task. AcTiV 2.0 is also distributed with its annotation and evaluation tools that are made open-source for standardization and validation purposes. This paper also reports on the evaluation of several systems tested under the proposed detection and recognition protocols.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
iCoSys - Institut des systèmes complexes
Subject(s):
Ingénierie
Date:
2018-01
Pagination:
19 p.
Published in:
Journal of Imaging
Numeration (vol. no.):
2018, vol. 4(2), no. 32
DOI:
ISSN:
2313-433X
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-02-26, last modified 2019-03-05

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)