Torben Hannemann


2025

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LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos
Viktoria Wrobel | Simon Kazemi | Frank Hammerschmidt | Torben Hannemann | Gregor Stange | Seid Muhie Yimam | Robert Geislinger
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

This paper presents LECTURE4ALL, 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. LECTURE4ALL 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.