Sign inGet started
Paper · arXiv

KnowVis: Knowledge-Centric Visual Summarization for Video Lectures

Video lectures are valuable educational resources, but their dense and lengthy formats often overwhelm novice learners. This difficulty stems from a fundamental pedagogical mismatch: while videos deliver transient information linearly, human learning requires constructing interconnected cognitive networks, a task that induces severe cognitive overload for novice learners lacking prior domain knowledge. Existing video summarization methods fail to resolve this mismatch, as they primarily produce text-heavy, linear condensations that still demand high cognitive effort. To bridge this gap, we propose KnowVis, a framework that transforms linear video lectures into pedagogically grounded visua...

AuthorsYi Xu, Yifan Hou, Xiaoyu Zhang
Primary categorycs.CV
Published3 September 2026
Last updated at source7 September 2026
cs.CVcs.CL
Embed this entry
<iframe src="https://silytics.si/embed/item/cffdd1a6-f1a8-40f3-a258-adf24c77e67f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.