NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding

Users often take notes for instructional videos to access key knowledge later without revisiting long videos. Automated note generation tools enable users to obtain informative notes efficiently. However, notes generated by existing research or off-the-shelf tools fail to preserve the information conveyed in the original videos comprehensively, nor can they satisfy users' expectations for diverse presentation formats and interactive features when using notes digitally. In this work, we present NoteIt, a system, which automatically converts instructional videos to interactable notes using a novel pipeline that faithfully extracts hierarchical structure and multimodal key information from videos. With NoteIt's interface, users can interact with the system to further customize the content and presentation formats of the notes according to their preferences. We conducted both a technical evaluation and a comparison user study (N=36). The solid performance in objective metrics and the positive user feedback demonstrated the effectiveness of the pipeline and the overall usability of NoteIt. Project website: https://zhaorunning.github.io/NoteIt/

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746059.3747626
Primary Topic
Subtitles and Audiovisual Media
Type
article
Field-Weighted Citation Impact
0.00

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article

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding

Zhihan Jiang, Weipeng Deng, Handi Chen, Luyao Jin et al.
Subtitles and Audiovisual Media
article

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding

Zhihan Jiang, Weipeng Deng, Handi Chen, Luyao Jin, Running Zhao, Xun Qian, Edith C.‐H. Ngai, Xin Qi, Xinchen Zhang, Chun-Jey Chang
article en

Abstract

Users often take notes for instructional videos to access key knowledge later without revisiting long videos. Automated note generation tools enable users to obtain informative notes efficiently. However, notes generated by existing research or off-the-shelf tools fail to preserve the information conveyed in the original videos comprehensively, nor can they satisfy users' expectations for diverse presentation formats and interactive features when using notes digitally. In this work, we present NoteIt, a system, which automatically converts instructional videos to interactable notes using a novel pipeline that faithfully extracts hierarchical structure and multimodal key information from videos. With NoteIt's interface, users can interact with the system to further customize the content and presentation formats of the notes according to their preferences. We conducted both a technical evaluation and a comparison user study (N=36). The solid performance in objective metrics and the positive user feedback demonstrated the effectiveness of the pipeline and the overall usability of NoteIt. Project website: https://zhaorunning.github.io/NoteIt/

Google (United States) (US), Chinese University of Hong Kong (HK), University of Hong Kong (HK)
Innovation and Technology Commission
Openalex Percentile: Top 64%
Subtitles and Audiovisual Media
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NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding — Zhihan Jiang, Weipeng Deng, et al. · (2025) | TGRS Research Map | TGRS