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FastPerson: Enhancing Video Learning through Effective Video Summarization that Preserves Linguistic and Visual Contexts
March 27, 2024, 4:46 a.m. | Kazuki Kawamura, Jun Rekimoto
cs.CV updates on arXiv.org arxiv.org
Abstract: Quickly understanding lengthy lecture videos is essential for learners with limited time and interest in various topics to improve their learning efficiency. To this end, video summarization has been actively researched to enable users to view only important scenes from a video. However, these studies focus on either the visual or audio information of a video and extract important segments in the video. Therefore, there is a risk of missing important information when both the …
abstract arxiv cs.cl cs.cv cs.hc cs.mm efficiency lecture summarization through topics type understanding video videos view visual
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