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arXiv · 2502.08279

What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations

Dongqi Liu·Chenxi Whitehouse·Xi Yu·Louis Mahon·Rohit Saxena·Zheng Zhao·Yifu Qiu·Mirella Lapata·Vera Demberg
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Abstract

Transforming recorded videos into concise and accurate textual summaries is a growing challenge in multimodal learning. This paper introduces VISTA, a dataset specifically designed for video-to-text summarization in scientific domains. VISTA contains 18,599 recorded AI conference presentations paired with their corresponding paper abstracts. We benchmark the performance of state-of-the-art large models and apply a plan-based framework to better capture the structured nature of abstracts. Both human and automated evaluations confirm that explicit planning enhances summary quality and factual consistency. However, a considerable gap remains between models and human performance, highlighting the challenges of our dataset. This study aims to pave the way for future research on scientific video-to-text summarization.

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Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg. 2025-02-12. What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations. https://arxiv.org/abs/2502.08279

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