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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
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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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