abstract

Video summarization via crowdsourcing

Authors:

Shao-Yu Wu,

Ruck Thawonmas,

Kuan-Ta ChenAuthors Info & Claims

CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

Pages 1531 - 1536

https://doi.org/10.1145/1979742.1979803

Published: 07 May 2011 Publication History

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Abstract

Although video summarization has been studied extensively, existing schemes are neither lightweight nor generalizable to all types of video content. To generate accurate abstractions of all types of video, we propose a framework called Click2SMRY, which leverages the wisdom of the crowd to generate video summaries with a low workload for workers. The framework is lightweight because workers only need to click a dedicated key when they feel that the video being played is reaching a highlight. One unique feature of the framework is that it can generate different abstraction levels of video summaries according to viewers' preferences in real time. The results of experiments conducted to evaluate the framework demonstrate that it can generate satisfactory summaries for different types of video clips.

References

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Cited By

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Lin DCaba Heilbron FLee JWang OMartelaro N(2024)Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a PriorCreativity and Cognition10.1145/3635636.3656186(328-346)Online publication date: 23-Jun-2024
https://doi.org/10.1145/3635636.3656186
Nasir TIqbal MAnwar M(2022)Summarization of Cricket Videos Using Deep Learning Technique2022 International Conference on Frontiers of Information Technology (FIT)10.1109/FIT57066.2022.00016(30-35)Online publication date: Dec-2022
https://doi.org/10.1109/FIT57066.2022.00016
Iglesias CFavenza ACarrera Á(2020)A Big Data Reference Architecture for Emergency ManagementInformation10.3390/info1112056911:12(569)Online publication date: 4-Dec-2020
https://doi.org/10.3390/info11120569
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Index Terms

Video summarization via crowdsourcing
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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Information & Contributors

Information

Published In

CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing Systems

May 2011

2554 pages

ISBN:9781450302685

DOI:10.1145/1979742

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2011

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CHI '11

Sponsor:

SIGCHI

CHI '11: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2011

BC, Vancouver, Canada

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

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Lin DCaba Heilbron FLee JWang OMartelaro N(2024)Videogenic: Identifying Highlight Moments in Videos with Professional Photographs as a PriorCreativity and Cognition10.1145/3635636.3656186(328-346)Online publication date: 23-Jun-2024
https://doi.org/10.1145/3635636.3656186
Nasir TIqbal MAnwar M(2022)Summarization of Cricket Videos Using Deep Learning Technique2022 International Conference on Frontiers of Information Technology (FIT)10.1109/FIT57066.2022.00016(30-35)Online publication date: Dec-2022
https://doi.org/10.1109/FIT57066.2022.00016
Iglesias CFavenza ACarrera Á(2020)A Big Data Reference Architecture for Emergency ManagementInformation10.3390/info1112056911:12(569)Online publication date: 4-Dec-2020
https://doi.org/10.3390/info11120569
Inel OTintarev NAroyo L(2020)Eliciting User Preferences for Personalized Explanations for Video SummariesProceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3340631.3394862(98-106)Online publication date: 7-Jul-2020
https://dl.acm.org/doi/10.1145/3340631.3394862
Singhal AKumar PSaini RRoy PDogra DKim B(2018)Summarization of videos by analyzing affective state of the user through crowdsourceCognitive Systems Research10.1016/j.cogsys.2018.09.01952(917-930)Online publication date: Dec-2018
https://doi.org/10.1016/j.cogsys.2018.09.019
Romão TCentieiro PFião GCorreia NDias ACampos JNunes N(2017)Designing a system for the automatic generation of sport video summariesProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3102113.3102130(69-74)Online publication date: 26-Jun-2017
https://dl.acm.org/doi/10.1145/3102113.3102130
Badal TNain NAhmed M(2017)Generalised Spatio Temporal Feature Based Important Activity Synopsis Generation2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS.2017.60(319-326)Online publication date: Dec-2017
https://doi.org/10.1109/SITIS.2017.60
Ye KSun YYang JHe L(2017)WeCrowd: A WeChat based mobile crowdsourcing platform2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD.2017.8066666(30-35)Online publication date: Apr-2017
https://doi.org/10.1109/CSCWD.2017.8066666
Darabi KGhinea G(2017)User-centred personalised video abstraction approach adopting SIFT featuresMultimedia Tools and Applications10.1007/s11042-015-3210-476:2(2353-2378)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11042-015-3210-4
Zen Gde Juan PSong YJaimes AKender JSmith JLuo JBoll SHsu W(2016)Mouse Activity as an Indicator of Interestingness in VideoProceedings of the 2016 ACM on International Conference on Multimedia Retrieval10.1145/2911996.2912005(47-54)Online publication date: 6-Jun-2016
https://dl.acm.org/doi/10.1145/2911996.2912005
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