Assembled module (final output)
Multimodal Analysis of Video Lectures for Better Learning Experiencessp:infosp:infosp:infosp:infosp:infosp:infosp:infosp:info
Challengessp:infosp:info
Multimodal Analysis of Video Lectures for Better Learning Experiencessp:info
Research Problem & Objectivessp:basicsp:info
Contributionssp:infosp:infosp:infosp:infosp:info
Contributions
Temporal Segmentation of Video Lecturessp:info
Contributions
Video Lecture Augmented and Interactive Interfacesp:info
ueDivRelated work Education applications
Related worksp:info
Content Summarization and Indexingsp:infosp:infosp:infosp:infosp:infosp:basic
Full module.xml
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<sc:para xml:space="preserve">Travis SENG June 16th, 2025</sc:para>
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<sc:para xml:space="preserve">Géraldine MORIN President Laurent HEUTTE Reviewer Mounim EL-YACOUBI Reviewer Muriel VISANI Examiner Vincent Charvillat Supervisor Wei Tsang OOI Co-supervisor Axel Carlier Co-supervisor</sc:para>
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<sc:para xml:space="preserve">Technology allows to film and learn on our phones</sc:para>
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<sc:para xml:space="preserve">Video Lectures and MOOC usage increase year by year</sc:para>
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<sc:para xml:space="preserve">Les capsules vidéo pédagogiques : une plus-value pour les apprentissages ?, Fabiano, 2023</sc:para>
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<sc:para xml:space="preserve">Les capsules vidéo pédagogiques : une plus-value pour les apprentissages ?, Fabiano, 2023</sc:para>
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<sc:para xml:space="preserve">Video Duration Distribution of MIT OpenCourseWare Channel</sc:para>
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<sc:para xml:space="preserve">Total Videos: 428 Average Duration: 53.6 minutes</sc:para>
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<sc:para xml:space="preserve">Annotations</sc:para>
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<sc:para xml:space="preserve">Video Lectures often underutilize their potential due to:</sc:para>
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<sc:para xml:space="preserve">Long videos</sc:para>
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Temporal Segmentation of Video Lectures</sc:para>
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Video Lecture Augmented and Interactive Interface</sc:para>
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<sc:para xml:space="preserve">Title</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Authors</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Year</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Focus</sc:para>
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<sc:para xml:space="preserve">VideoKen: Automatic Video Summarization and Course Curation to Support Learning</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Mahapatra et al.</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">2018</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Indexing</sc:para>
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<sc:row>
<sc:cell>
<sc:para xml:space="preserve">Lecture2note: Automatic generation of lecture notes from slide-based educational videos</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Xu et al.</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">2019</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Summarization</sc:para>
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<sc:para xml:space="preserve">LectYS: A System for Summarizing Lecture Videos on YouTube</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Yoo et al.</sc:para>
</sc:cell>
<sc:cell>
<sc:para xml:space="preserve">2021</sc:para>
</sc:cell>
<sc:cell>
<sc:para xml:space="preserve">Summarization and Indexing</sc:para>
</sc:cell>
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<sc:row>
<sc:cell>
<sc:para xml:space="preserve">Slidecho: Flexible Non-Visual Exploration of Presentation Videos</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Peng et al.</sc:para>
</sc:cell>
<sc:cell>
<sc:para xml:space="preserve">2021</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Accessibility</sc:para>
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<sc:row>
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<sc:para xml:space="preserve">FitVid: Responsive and Flexible Video Content Adaptation</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Kim et al.</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">2022</sc:para>
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<sc:cell>
<sc:para xml:space="preserve">Accessibility and Interactivity</sc:para>
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<sc:row>
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<sc:para xml:space="preserve">SmartLearn: Visual-Temporal Accessibility for Slide-based e-learning Videos</sc:para>
</sc:cell>
<sc:cell>
<sc:para xml:space="preserve">Sechayk et al.</sc:para>
</sc:cell>
<sc:cell>
<sc:para xml:space="preserve">2024</sc:para>
</sc:cell>
<sc:cell>
<sc:para xml:space="preserve">Accessibility and Summarization</sc:para>
</sc:cell>
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<sp:title>
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<sc:para xml:space="preserve">Content Summarization and Indexing</sc:para>
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<sc:para xml:space="preserve">Segmentation, key-frame extraction, content extraction (OCR, ASR), NLP (TextRank, Word2Vec)</sc:para>
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<sc:para xml:space="preserve">Subtitle Extraction, Latent Semantic Analysis (LSA)</sc:para>
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<sc:para xml:space="preserve">VideoKen: Automatic Video Summarization and Course Curation to Support Learning, Mahapatra et al., 2018</sc:para>
<sc:para xml:space="preserve">Yoo et al. LectYS: A System for Summarizing Lecture Videos on YouTube, 2021</sc:para>
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Per-slide extraction
page_0000
Multimodal Analysis of Video Lectures for Better Learning Experiences
sp:infoInformation100%
Travis SENG June 16th, 2025
sp:infoInformation100%
Jury
Géraldine MORIN President Laurent HEUTTE Reviewer Mounim EL-YACOUBI Reviewer Muriel VISANI Examiner Vincent Charvillat Supervisor Wei Tsang OOI Co-supervisor Axel Carlier Co-supervisor
sp:infoInformation90%
alt: Logo of Université Fédérale Toulouse Midi-Pyrénées 
alt: Logo of IRIT 
alt: Logo of INP ENSEEIHT 
alt: Logo of National University of Singapore (NUS) 
alt: Logo of ipal
Opale XML
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<sc:para xml:space="preserve">Géraldine MORIN President Laurent HEUTTE Reviewer Mounim EL-YACOUBI Reviewer Muriel VISANI Examiner Vincent Charvillat Supervisor Wei Tsang OOI Co-supervisor Axel Carlier Co-supervisor</sc:para>
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page_0001
Multimodal Analysis of Video Lectures for Better Learning Experiences
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alt: A lecturer standing in front of a chalkboard with mathematical formulas. 
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alt: A screenshot of a video lecture showing a person speaking with a slide titled '2.12 Recap What is a patient?'
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page_0002
Multimodal Analysis of Video Lectures for Better Learning Experiences
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alt: Screenshot of the MIT OpenCourseWare website showing various video lecture thumbnails
- Technology allows to film and learn on our phones - Video Lectures and MOOC usage increase year by year
sp:infoInformation90%
Les capsules vidéo pédagogiques : une plus-value pour les apprentissages ?, Fabiano, 2023
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page_0003
Multimodal Analysis of Video Lectures for Better Learning Experiences
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- Flexibility - Self-paced learning - Accessibility potential
sp:infoInformation90%
Les capsules vidéo pédagogiques : une plus-value pour les apprentissages ?, Fabiano, 2023
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page_0004
Challenges
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alt: A pie chart showing the distribution of video durations: < 10 min (10.5%), 10-30 min (8.9%), 30-60 min (38.3%), and > 1 hour (42.3%).
Video Duration Distribution of MIT OpenCourseWare Channel
Total Videos: 428 Average Duration: 53.6 minutes
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- Long videos - Navigability - Lack of student interaction - Engagement - Cognitive overload - Accessibility
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page_0005
Multimodal Analysis of Video Lectures for Better Learning Experiences
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- Screen sharing - Slides - Camera - Talking head - Blackboard - Additional material - Pointer trajectory - Mouse cursor - Annotations
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page_0006
Research Problem & Objectives
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Problem Statement
Video Lectures often underutilize their potential due to: - Long videos - Navigability - Lack of student interaction - Engagement - Cognitive overload - Accessibility
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page_0007
Research Problem & Objectives
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Objective
Investigate how multimodal analysis can enhance the usability and educational value of video lectures.
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page_0008
Contributions
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Bounding boxes
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page_0009
Contributions Temporal Segmentation of Video Lectures
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page_0010
Contributions Video Lecture Augmented and Interactive Interface
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page_0011
01 Related work Education applications SECTION DIVIDER
— no content blocks —
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page_0012
Related work
sp:infoInformation100%
| Title | Authors | Year | Focus | | --- | --- | --- | --- | | VideoKen: Automatic Video Summarization and Course Curation to Support Learning | Mahapatra et al. | 2018 | Indexing | | Lecture2note: Automatic generation of lecture notes from slide-based educational videos | Xu et al. | 2019 | Summarization | | LectYS: A System for Summarizing Lecture Videos on YouTube | Yoo et al. | 2021 | Summarization and Indexing | | Slidecho: Flexible Non-Visual Exploration of Presentation Videos | Peng et al. | 2021 | Accessibility | | FitVid: Responsive and Flexible Video Content Adaptation | Kim et al. | 2022 | Accessibility and Interactivity | | SmartLearn: Visual-Temporal Accessibility for Slide-based e-learning Videos | Sechayk et al. | 2024 | Accessibility and Summarization |
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<sc:para xml:space="preserve">2024</sc:para>
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page_0013
Content Summarization and Indexing
sp:infoInformation100%
alt: Screenshot of a video analysis interface showing 'Big Data Analytics Use Cases' with a table of contents and a phrase cloud. 
alt: Screenshot of a video analysis interface showing a timeline of frames, a transcript with highlighted text 'neural', and a video player.
sp:infoInformation100%
Segmentation, key-frame extraction, content extraction (OCR, ASR), NLP (TextRank, Word2Vec)
sp:infoInformation100%
Subtitle Extraction, Latent Semantic Analysis (LSA)
sp:infoInformation100%
VideoKen: Automatic Video Summarization and Course Curation to Support Learning, Mahapatra et al., 2018 Yoo et al. LectYS: A System for Summarizing Lecture Videos on YouTube, 2021
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page_0014
Content Summarization and Indexing
sp:infoInformation80%
alt: A series of five panels showing a process of picking the right value for k in clustering, with accompanying explanatory text and diagrams of data points.
sp:basicFondamental90%
Visual Entity Extraction, Entity Extraction, Text-Speech Matching
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