arXiv:2503.21130cs.HCcs.CV2025-03被引 10

将多段教程视频整合成任务导向的摘要,提升学习效率

VideoMix: Aggregating How-To Videos for Task-Oriented Learning

  • 用视觉语言模型提取多视频关键信息并组织
  • 用户理解任务全面性提升,效率高于独立看视频
  • 适合想快速掌握技能但时间有限的学习者

教程视频是人们学习新技能的重要资源。学习者常需观看多段视频以了解不同实现方法,但视频分散难跳读,耗时且费力。我们提出 VideoMix 系统,通过聚合多个视频信息,帮助用户从整体上理解某项操作任务。基于12人预研发现,学习者重视结果预期、所需材料、替代方法及各视频中的细节差异。VideoMix 利用视觉-语言模型流程提取并组织这些信息,生成简洁文本摘要并搭配相关视频片段,便于快速浏览与导航。12人对比实验表明,相较于独立观看视频的基线界面,VideoMix 能让用户更高效地获得更全面的任务理解。研究结果表明,围绕共同目标整合多视频内容,可显著改善传统视频学习体验。

原文摘要 · Abstract (English)

Tutorial videos are a valuable resource for people looking to learn new tasks. People often learn these skills by viewing multiple tutorial videos to get an overall understanding of a task by looking at different approaches to achieve the task. However, navigating through multiple videos can be time-consuming and mentally demanding as these videos are scattered and not easy to skim. We propose VideoMix, a system that helps users gain a holistic understanding of a how-to task by aggregating information from multiple videos on the task. Insights from our formative study (N=12) reveal that learners value understanding potential outcomes, required materials, alternative methods, and important details shared by different videos. Powered by a Vision-Language Model pipeline, VideoMix extracts and organizes this information, presenting concise textual summaries alongside relevant video clips, enabling users to quickly digest and navigate the content. A comparative user study (N=12) demonstrated that VideoMix enabled participants to gain a more comprehensive understanding of tasks with greater efficiency than a baseline video interface, where videos are viewed independently. Our findings highlight the potential of a task-oriented, multi-video approach where videos are organized around a shared goal, offering an enhanced alternative to conventional video-based learning.

视频学习多视频融合任务导向

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