Towards A Time Based Video Search Engine for Al Quran Interpretation

TL;DR

This paper proposes a time-based video search engine for Quran interpretation, enabling users to find, share, and comment on short, relevant Tafsir videos aligned with specific search queries and verses.

Contribution

It introduces a novel method for partitioning Tafsir videos into short clips based on search queries and supports time-specific user comments and sharing features.

Findings

Effective partitioning of Tafsir videos into short clips

Enhanced user interaction with time-based comments

Facilitated sharing of Quran interpretation videos on social media

Abstract

The number of Internet Muslim-users is remarkably increasing from all over the world countries. There are a lot of structured, and well-documented text resources for the Quran interpretation, Tafsir, over the Internet with several languages. Nevertheless, when searching for the meaning of specific words, many users prefer watching short videos rather than reading a script or a book. This paper introduces the solution for the challenge of partitioning the common Tafsir videos into short videos according to the search query and sharing these result videos on the social networks. Furthermore, we provide the ability of user commenting on a specific time-based frame on the video or a specific verse in a particular subject. It would be very valuable to apply the current technologies on Holy Quran and Tafsir to easy the query for verses, understanding of its meaning, and sharing it on the different social media.