demonstration

Free access

VideoKen: Automatic Video Summarization and Course Curation to Support Learning

Authors:

Debabrata Mahapatra,

Ragunathan Mariappan,

Vaibhav Rajan,

Kuldeep Yadav,

Seby A.,

Sudeshna RoyAuthors Info & Claims

WWW '18: Companion Proceedings of the The Web Conference 2018

Pages 239 - 242

https://doi.org/10.1145/3184558.3186988

Published: 23 April 2018 Publication History

All formats PDF

Abstract

The number of high quality online videos is increasing rapidly. Online courses as well as universities do not fully leverage the content due to several open challenges in video search, indexing, summarization and customization requirements for specific courses, instructors or learners. We present a new web-based social learning platform called Videoken. Using novel video summarization algorithms, Videoken automatically creates Table of Contents for videos. This allows a textbook-like facility for non-linear search and navigation through the video, enables extraction of semantically coherent clips from within a video and improves video search through better semantic indexing. The platform also allows new ways of course creation and sharing of learning modules; and can be both integrated with existing Learning Management Systems and used independently.

References

[1]

Arijit Biswas, Ankit Gandhi, and Om Deshmukh. 2015. MMToC: A Multimodal Method for Table of Content Creation in Educational Videos. In Proceedings of the 23rd ACM International Conference on Multimedia (MM '15). ACM, New York, NY, USA, 621--630.

Digital Library

Google Scholar

[2]

B. Epshtein, E. Ofek, and Y. Wexler. 2010. Detecting text in natural scenes with stroke width transform. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2963--2970.

Google Scholar

[3]

Thommy Eriksson, Tom Adawi, and Christian Stöhr. 2017. "Time is the bottleneck": a qualitative study exploring why learners drop out of MOOCs. Journal of Computing in Higher Education 29, 1 (01 Apr 2017), 133--146.

Crossref

Google Scholar

[4]

Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al. 1996. A densitybased algorithm for discovering clusters in large spatial databases with noise. In Kdd, Vol. 96. 226--231.

Digital Library

Google Scholar

[5]

Matt Kusner, Yu Sun, Nicholas Kolkin, and Kilian Weinberger. 2015. From word embeddings to document distances. In International Conference on Machine Learning. 957--966.

Digital Library

Google Scholar

[6]

Rada Mihalcea and Paul Tarau. 2004. Textrank: Bringing order into text. In Proceedings of the 2004 conference on empirical methods in natural language processing.

Google Scholar

[7]

Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013).

Google Scholar

[8]

Nagarajan Natarajan and Inderjit S Dhillon. 2014. Inductive matrix completion for predicting gene--disease associations. Bioinformatics 30, 12 (2014), i60--i68.

Crossref

Google Scholar

[9]

A. H. Omer. 2015. Is Bite Sized Learning The Future Of eLearning https:// elearningindustry.com/bite-sized-learning-future-of-elearning. (2015). Accessed: 2018-01--10.

Google Scholar

[10]

Daniel FO Onah, Jane Sinclair, and Russell Boyatt. 2014. Dropout rates of massive open online courses: behavioural patterns. EDULEARN14 Proceedings (2014), 5825--5834.

Google Scholar

[11]

Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, Jan Silovsky, Georg Stemmer, and Karel Vesely. 2011. The Kaldi Speech Recognition Toolkit. In IEEE 2011 Workshop on Automatic Speech Recognition and Understanding. IEEE Signal Processing Society. IEEE Catalog No.: CFP11SRW-USB.

Google Scholar

Cited By

View all

Jobin KMishra AJawahar C(2024)Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00591(6004-6013)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00591
Kar TKanungo PMohanty SGroppe SGroppe J(2024)Video shot-boundary detection: issues, challenges and solutionsArtificial Intelligence Review10.1007/s10462-024-10742-157:4Online publication date: 30-Mar-2024
https://doi.org/10.1007/s10462-024-10742-1
Singh S DGupta AJawahar CTapaswi M(2023)Unsupervised Audio-Visual Lecture Segmentation2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV56688.2023.00520(5221-5230)Online publication date: Jan-2023
https://doi.org/10.1109/WACV56688.2023.00520
Show More Cited By

Index Terms

VideoKen: Automatic Video Summarization and Course Curation to Support Learning
1. Applied computing
  1. Education
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Video segmentation
      2. Computer vision tasks
        Video summarization
    2. Natural language processing
      1. Information extraction

Recommendations

Rushes video summarization using audio-visual information and sequence alignment
TVS '08: Proceedings of the 2nd ACM TRECVid Video Summarization Workshop

This paper describes our system and methodologies for the BBC rushes video summarization task of TRECVID 2008. The procedure of the system is composed of three major steps: shot detection, irrelevant and repetitive subshot removal, and final summary ...
Robust handwriting extraction and lecture video summarization

In e-Learning research, teachers can record lecture videos in e-class and upload these lecture videos to e-Learning system themselves. Once lecture videos and handouts can be generated automatically in traditional classroom, it can help students with ...
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content. Query-aware multi-video summarization is a promising technique that caters to this demand. In this ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

WWW '18: Companion Proceedings of the The Web Conference 2018

April 2018

2023 pages

ISBN:9781450356404

General Chairs:
Pierre-Antoine Champin
Université Claude Bernard Lyon 1, France
,
Fabien Gandon
Inria, Université Côte d'Azur, CNRS, I3S, France
,
Lionel Médini
Université Claude Bernard Lyon 1, CNRS, LIRIS, France
,
Program Chairs:
Mounia Lalmas
Spotify, UK
,
Panagiotis G. Ipeirotis
New York University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 23 April 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Demonstration

Funding Sources

VideoKen

Conference

WWW '18

Sponsor:

IW3C2

WWW '18: The Web Conference 2018

April 23 - 27, 2018

Lyon, France

Acceptance Rates

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
1,075
Total Downloads

Downloads (Last 12 months)199
Downloads (Last 6 weeks)39

Reflects downloads up to 19 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Jobin KMishra AJawahar C(2024)Semantic Labels-Aware Transformer Model for Searching over a Large Collection of Lecture-Slides2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00591(6004-6013)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00591
Kar TKanungo PMohanty SGroppe SGroppe J(2024)Video shot-boundary detection: issues, challenges and solutionsArtificial Intelligence Review10.1007/s10462-024-10742-157:4Online publication date: 30-Mar-2024
https://doi.org/10.1007/s10462-024-10742-1
Singh S DGupta AJawahar CTapaswi M(2023)Unsupervised Audio-Visual Lecture Segmentation2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV56688.2023.00520(5221-5230)Online publication date: Jan-2023
https://doi.org/10.1109/WACV56688.2023.00520
Bulathwela SPérez-Ortiz MYilmaz EShawe-Taylor J(2022)Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational ResourcesSustainability10.3390/su14181168214:18(11682)Online publication date: 17-Sep-2022
https://doi.org/10.3390/su141811682
Seng TMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Enriching Existing Educational Video Datasets to Improve Slide Classification and AnalysisProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548758(6930-6934)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3503161.3548758
Tang CLiao JWang HSung CLin W(2021)ConceptGuide: Supporting Online Video Learning with Concept Map-based Recommendation of Learning PathProceedings of the Web Conference 202110.1145/3442381.3449808(2757-2768)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3442381.3449808
Verma GNalamada THarpavat KGoel PMishra ASrinivasan BHammond TVerbert KParra DKnijnenburg BO'Donovan JTeale P(2021)Non-Linear Consumption of Videos Using a Sequence of Personalized Multimodal FragmentsProceedings of the 26th International Conference on Intelligent User Interfaces10.1145/3397481.3450672(249-259)Online publication date: 14-Apr-2021
https://dl.acm.org/doi/10.1145/3397481.3450672
Mukherjee ATiwari SChowdhury TChakraborty TPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Automatic Curation of Content Tables for Educational VideosProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331400(1329-1332)Online publication date: 18-Jul-2019
https://dl.acm.org/doi/10.1145/3331184.3331400

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Rushes video summarization using audio-visual information and sequence alignment

Robust handwriting extraction and lecture video summarization

DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization