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

• URL: http://arxiv.org/abs/2502.08279v2
• Date: Mon, 17 Feb 2025 12:01:02 GMT
• Title: What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
• Authors: Dongqi Liu, Chenxi Whitehouse, Xi Yu, Louis Mahon, Rohit Saxena, Zheng Zhao, Yifu Qiu, Mirella Lapata, Vera Demberg,
• Abstract summary: This paper introduces VISTA, a dataset specifically designed for video-to-text summarization in scientific domains. 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.
• Score: 47.79536652721794
• License:
• 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 scientific video summarization.

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