A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Arabic Text Recognition in Video Sequences
[article]
2013
arXiv
pre-print
Preserved Fulltext
In this paper, we propose a robust approach for text extraction and recognition from Arabic news video sequence. ...
The text included in video sequences is an important needful for indexing and searching system. ...
In this paper, we present a new system for text extraction and recognition from Arabic news videos. ...
arXiv:1308.3243v1
fatcat:gfe5pnbzfzdjlisdcvlkbtxqua
Unconstrained Scene Text and Video Text Recognition for Arabic Script
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We demonstrate the effectiveness of an end-to-end trainable CNN-RNN hybrid architecture in recognizing Arabic text in videos and natural scenes. ...
For the scene text recognition task, we introduce a new Arabic scene text dataset and establish baseline results. ...
ACKNOWLEDGMENT The authors would like to thank Maaz Anwar, Anjali, Saumya, Vignesh and Rohan for helping annotate the Arabic scenetext dataset and Dr. Girish Varma for his timely help and discussions. ...
arXiv:1711.02396v1
fatcat:mv2oibn3vveqpkitrido5qiiki
Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images
2021
Forecasting
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper presents a CNN-RNN model with an attention mechanism for Arabic image text recognition. The model takes an input image and generates feature sequences through a CNN. ...
These sequences are transferred to a bidirectional RNN to obtain feature sequences in order. The bidirectional RNN can miss some preprocessing of text segmentation. ...
For handwritten English and Arabic text recognition, the is used in [14, 15] , respectively. For Arabic video text recognition, this paper us sequence to sequence model. ...
doi:10.3390/forecast3030033
fatcat:pqeei7htq5eedfqcxdyofuv4ze
Multi-dimensional long short-term memory networks for artificial Arabic text recognition in news video
2018
IET Computer Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This study presents a novel approach for Arabic video text recognition based on recurrent neural networks. ...
In fact, embedded texts in videos represent a rich source of information for indexing and automatically annotating multimedia documents. ...
All these characteristics along with the previously mentioned challenges may give rise to failures in Arabic video text recognition tasks. ...
doi:10.1049/iet-cvi.2017.0468
fatcat:qvkmppo5pnaixeujdpllbq4s5e
NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR
2012
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper we propose a robust approach for text extraction and recognition from video clips which is called Neuro-Fuzzy system for Arabic Video OCR. ...
In Arabic video text recognition, a number of noise components provide the text relatively more complicated to separate from the background. ...
Experimental results of Recognition text In order to investigate the effectiveness of our recognition sub-system in recognizing Arabic Text extracted from various news sequences, a series of tests were ...
doi:10.14569/ijacsa.2012.031022
fatcat:exnrssn7orgxpi73pyr275b3ze
Open Datasets and Tools for Arabic Text Detection and Recognition in News Video Frames
2018
Journal of Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
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. ...
In the 2013 edition of ICDAR RRC [24] , a new database was proposed for video text detection, tracking and recognition. It contains 28 short video sequences. ...
doi:10.3390/jimaging4020032
fatcat:5ghq5uliwjgdrgj6ehgnto4emi
Cursive Text Recognition in Natural Scene Images using Deep Convolutional Recurrent Neural Network
2022
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Text recognition in natural scene images is a challenging problem in computer vision. ...
Different than the optical character recognition (OCR), text recognition in natural scene images is more complex due to variations in text size, colors, fonts, orientations, complex backgrounds, occlusion ...
proposed for the Arabic text recognition in the natural scene and video images. ...
doi:10.1109/access.2022.3144844
fatcat:qmyrwvwgercpnbk6zxkmx6yani
Extractive Text-Based Summarization of Arabic Videos: Issues, Approaches and Evaluations
[chapter]
2019
Communications in Computer and Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present and evaluate a method for extractive textbased summarization of Arabic videos. ...
The algorithm is proposed in the scope of the AMIS project that aims at helping a user to understand videos given in a foreign language (Arabic). ...
The same evaluators conducted another assessment, it concerns the evaluation of the Arabic ASR and the automatic summarization systems in which some video sequences are in Algerian dialect. ...
doi:10.1007/978-3-030-32959-4_5
fatcat:hizunfupwvaohn6pl7dd3hjibi
Summarizing videos into a target language: Methodology, architectures and evaluation
2019
Journal of Intelligent & Fuzzy Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This issue is not limited to translate a source video into a target language video since the objective is to provide only the main idea of an Arabic video in English. ...
This objective necessitates developing research in several areas that are not, all arrived at a maturity state: Video summarization, Speech recognition, Machine translation, Audio summarization and Speech ...
We illustrate the process of summarizing video sequences in [16] .
Automatic Speech recognition system Arabic, English and French videos are handled in the AMIS project. ...
doi:10.3233/jifs-179350
fatcat:6epfpzwygrea5it7b6sj23l434
Recognition of cursive video text using a deep learning framework
2020
IET Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This study focuses on cursive text recognition appearing in videos, using a complete framework of deep neural networks. ...
While mature video optical character recognition systems (V-OCRs) are available for text in non-cursive scripts, recognition of cursive scripts is marked by many challenges. ...
[64] presented a segmentation-free technique based on multidimensional LSTM (MDLSTM) for recognition of Arabic video text. ...
doi:10.1049/iet-ipr.2019.1070
fatcat:nvwbbiox5neshkanjpns7hxs3a
Arabic Scene Text Recognition in the Deep Learning Era: Analysis on A Novel Dataset
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
[20] proposed the ALIF dataset for text recognition in videos of news broadcasts. ...
Most of the work recently proposed in Arabic text recognition has either used text in video datasets or a private dataset that is not publicly available. ...
He studied for B.Sc. and M.Sc. in Alexandria University. ...
doi:10.1109/access.2021.3100717
fatcat:vktg6bdybjhtnb2f67yovifo4q
An Integrated AMIS Prototype for Automated Summarization and Translation of Newscasts and Reports
[chapter]
2018
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper we present the results of the integration works on the system designed for automated summarization and translation of newscast and reports. ...
Automatic Speech Recognition As the objectives of AMIS are to summarize Arabic or French videos in English and to compare the opinion of these videos with the opinion of English videos dealing with the ...
We have described components that perform speech recognition, video, audio and text based summarization, video processing, machine translation and subtitle processing. ...
doi:10.1007/978-3-319-98678-4_42
fatcat:4ucwuy7n4jbqpgecpwvd4ogyne
Quranic Sign Language for Deaf People: Quranic Recitation Classification and Verification
2018
International Journal on Perceptive and Cognitive Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper provides an overview of the techniques used in image and video recognition for sign language through following hand motions and translating it to the text of the Holy Quran. ...
It also provides a proposal for a system that will be capable of identifying errors in Quran recitation depending on alphabets of Arabic and Quranic sign language and be able to show where exactly errors ...
In this system, we propose using LDA technique with the NN technique for training and testing images and videos for alphabets of Arabic/Quranic Sign Language for video sequences. ...
doi:10.31436/ijpcc.v4i1.54
fatcat:vd53xtortffslnszhhkjl5ioka
Deep Learning based Isolated Arabic Scene Character Recognition
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this work, we presented Arabic scene text recognition using Convolutional Neural Networks (ConvNets) as a deep learning classifier. ...
During text classification phase, we trained network with distinct learning rates. Our approach reported encouraging results on recognition of Arabic characters from segmented Arabic scene images. ...
It is hereby assumed that scene text and video text shares same sort of problems and difficulties in the recognition. ...
arXiv:1704.06821v1
fatcat:rmndb73qlnbirgpkwnwowteiwa
Sub-sampling Approach for Unconstrained Arabic Scene Text Analysis by Implicit Segmentation based Deep Learning Classifier
2019
Global Journal of Computer Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper presents a novel contribution and suggests the solution for cursive scene text analysis notably recognition of Arabic scene text appeared in the unconstrained environment. ...
The comparison of the Arabic scene text with handwritten and printed data is outlined as well. ...
The recent work on recognition and establishing a connection of moving Arabic text appeared in the video is presented by [19] . ...
doi:10.34257/gjcstdvol19is1pg7
fatcat:bxhvfwrqbbdpxdpu3ejj2ej3jq
« Previous
Showing results 1 — 15 out of 8,312 results