Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
In: Journal of Imaging

Zayene Oussama ; Masmoudi Touj Sameh ; Hennebert Jean ; Ingold Rolf ; Essoukri Ben Amara Najoua

Vol: 48, 2018, No: 2, p. 1-19

ISSN: 2313-433X

Avec comité de lecture

Langue(s): eng

Abstract: 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.

Keyword(s): video text detection ; video text recognition ; AcTiV dataset ; Arabic Video OCR

Filière(s): Informatique (TIC)

Accès libre

 Notice créée le 2018-05-05, modifiée le 2018-05-05

Télécharger le documentPDF
Lien externe:
Télécharger le documentFichiers