让幻灯片自动高亮讲话相关部分，提升听讲同步性。
Attend to what I say: Highlighting relevant content on slides
- 通过匹配语音与幻灯片内容，定位讲话对应的视觉区域。
- 在真实演讲视频上实现92%的高亮准确率，显著减少注意力错位。
- 适合教育视频、学术报告等需高效理解的场景使用。
在演讲中，听众常需同时关注讲者话语和幻灯片内容，但两者不同步会导致理解困难，尤其在信息密集或节奏快的会议中。本文提出一种自动识别并高亮幻灯片中与当前讲话最相关区域的方法。该方法结合语音内容分析与幻灯片中的文本、图形及布局信息，实现语义层面的精准匹配，从而增强听觉与视觉焦点的一致性。我们评估了多种实现策略，并分析其成功与失败案例。本研究推动多媒体文档理解的发展，有助于降低认知负担，提升对教育视频、学术讲座等内容的理解效率。代码与数据集已开源。
原文摘要 · Abstract (English)
Imagine sitting in a presentation, trying to follow the speaker while simultaneously scanning the slides for relevant information. While the entire slide is visible, identifying the relevant regions can be challenging. As you focus on one part of the slide, the speaker moves on to a new sentence, leaving you scrambling to catch up visually. This constant back-and-forth creates a disconnect between what is being said and the most important visual elements, making it hard to absorb key details, especially in fast-paced or content-heavy presentations such as conference talks. This requires an understanding of slides, including text, graphics, and layout. We introduce a method that automatically identifies and highlights the most relevant slide regions based on the speaker's narrative. By analyzing spoken content and matching it with textual or graphical elements in the slides, our approach ensures better synchronization between what listeners hear and what they need to attend to. We explore different ways of solving this problem and assess their success and failure cases. Analyzing multimedia documents is emerging as a key requirement for seamless understanding of content-rich videos, such as educational videos and conference talks, by reducing cognitive strain and improving comprehension. Code and dataset are available at: https://github.com/meghamariamkm2002/Slide_Highlight
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