ACL2025

LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos

Torben Hannemann, Frank Hammerschmidt, Simon Kazemi, Gregor Stange, Viktoria Wrobel, Robert Geislinger, Seid Muhie Yimam

DOI Publisher

Abstract

This paper presents LECTURE4ALL 1 , a web application developed to improve the search experience of educational video platforms. Lecture2Go provides a vast collection of recorded lectures, but locating specific content within videos can be time-consuming. LEC-TURE4ALL addresses this issue by leveraging a vector database and a streamlined user interface to enable direct retrieval of precise video timestamps. By enhancing search accuracy and efficiency, LECTURE4ALL significantly improves the accessibility and usability of educational video platforms.