While slide-based videos augmented with visual effects are widely utilized in education and research presentations, the video editing process -- particularly applying visual effects to ground spoken content to slide objects -- remains highly labor-intensive. This study aims to develop a system that automatically generates such instructional videos from slides and corresponding scripts. As a foundational step, this paper proposes and formulates Script-to-Slide Grounding (S2SG), defined as the task of grounding script sentences to their corresponding slide objects. Furthermore, as an initial step, we propose ``Text-S2SG,'' a method that utilizes a large language model (LLM) to perform this grounding task for text objects. Our experiments demonstrate that the proposed method achieves high performance (F1-score: 0.924). The contribution of this work is the formalization of a previously implicit slide-based video editing process into a computable task, thereby paving the way for its automation.
Cite
@article{arxiv.2603.16931,
title = {Script-to-Slide Grounding: Grounding Script Sentences to Slide Objects for Automatic Instructional Video Generation},
author = {Rena Suzuki and Masato Kikuchi and Tadachika Ozono},
journal= {arXiv preprint arXiv:2603.16931},
year = {2026}
}
Comments
The 21st International Conference on E-Service and Knowledge Management (ESKM 2025-Winter)