Time based quran

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TOWARDS A TIME BASED VIDEO SEARCH ENGINE FOR AL QURAN INTERPRETATION

MAGED M. ELGAZZAR ,AFNAN HASSAN AND AMIRA A. AL-SHARKAWY

FACULTY OF ENGINEERING, CAIRO UNIVERSITY, CAIRO, EGYPT

12/6/2016

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AGENDA

Introduction.Problem statement.Methodology.Model.Results.Conclusion and future works.

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INTRODUCTION

Massive Open Online Courses (MOOC)

Videos vs books.

Increasing awareness in Islamic society using data analytics.

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PROBLEM STATEMENT

Long searching time for a specific verse.

Non Muslim searching time and feedbacks from the others.

The lack of Islamic datasets for data analytics.

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METHODOLOGY

1. Dividing the Al-Quran Interpretation Video by Al-Quran Verses and search by verse number.

2. Automated searching for certain speech pattern in the Video which will be more applicable and generalized for different videos than the first one.

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THE MAIN ISSUES WHEN USING THE FIRST METHOD

Several videos on YouTube could be for the same verse number for the same scientist.

Some verse number Interpretation are too long. At last, the user may want to search for a specific meaning. He is not restricted to a specific verse number.

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MODEL

The model based on two main components.

converting the Interpretation speech into text.

providing a well-designed user interface.

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MODEL

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RESULTS

Training Word error rate

Google speech API 22.5%

IBM Watson API 17.7%

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FUTURE WORK

Adding more versus to the system.

Considering more languages than Arabic.

Enhancing user interface.

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THANK YOU

https://linkedin.com/in/mmjazzar

Fb.com/mmjazzar

mmjazzar@ieee.org

12/6/2016