English(EN) Less is More: Label-Guided Efficient Summarization of Procedural and Instructional Videos

新的PRISM框架通过最少的帧选择实现高效视频摘要

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员开发了PRISM，一种新颖的高效程序视频摘要框架，无需事先训练即可运行。该方法选择不到5%的视频帧，保留了超过84%的语义内容，并且比现有方法提高了高达7.5%。PRISM利用轻量级的视觉过滤和动态生成的程序标签作为语义锚点，以识别和分组有意义的帧，从而降低计算成本并提高对关键动作和过渡的理解。 AI

影响该方法可以显著降低视频分析的计算成本，并提高各领域程序性内容的记录和分析效率。

排序理由该条目是一篇在arXiv上发表的研究论文，详细介绍了一种新的视频摘要方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 12 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目是一篇在arXiv上发表的研究论文，详细介绍了一种新的视频摘要方法。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Shreya Rajpal, Michal Golovanevsky, Carsten Eickhoff · 2026-10-15 04:00

少即是多：标签引导的高效程序和说明性视频摘要

arXiv:2601.12243v3 Announce Type: replace-cross Abstract: Video summarization transforms long videos into concise representations that are easier to document and analyze, especially in high-stakes domains such as surgical training. However, long-form videos often require dense fr…

本文如何被排名

报道来源 [1]

少即是多：标签引导的高效程序和说明性视频摘要

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