research-article

Video summarization based on user interaction

Authors:

Dan R. Olsen,

Brandon MoonAuthors Info & Claims

EuroITV '11: Proceedings of the 9th European Conference on Interactive TV and Video

Pages 115 - 122

https://doi.org/10.1145/2000119.2000142

Published: 29 June 2011 Publication History

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Abstract

It is frequently the case that viewers want to watch sports in less time than a game takes to play. Computing a summarization of a game depends upon information about each play. In contrast with previous video summarization work this paper describes how the interactive behavior of prior viewers can be used to compute which plays are most interesting. This passive feedback is examined as a possible source for the degree of interest in a play. In addition, a mechanism is described for briefly showing the game action that was removed to create the summary. This helps to preserve the continuity of the game in the viewer's mind.

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Cited By

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Hashimoto IWang YKawai YSumiya K(2021)Topic Detection for Video Stream based on Geographical Relationships and its Interactive Viewing System2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR51284.2021.00012(28-34)Online publication date: Sep-2021
https://doi.org/10.1109/MIPR51284.2021.00012
Srivastava NVelloso ELodge JErfani SBailey JBrewster SFitzpatrick GCox AKostakos V(2019)Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-ReportProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300816(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300816
Bai QHu QGe LHe L(2019)Stories That Big Danmaku Data Can Tell as a New MediaIEEE Access10.1109/ACCESS.2019.29090547(53509-53519)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2909054
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Index Terms

Video summarization based on user interaction
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Information & Contributors

Information

Published In

EuroITV '11: Proceedings of the 9th European Conference on Interactive TV and Video

June 2011

266 pages

ISBN:9781450306027

DOI:10.1145/2000119

General Chairs:
Manuel José Damásio
Universidade Lusófona de Humanidades e Tecnologias, Portugal
,
Gustavo Cardoso
Lisbon Internet and Networks Institute, Portugal
,
Program Chairs:
Célia Quico
Universidade Lusófona de Humanidades e Tecnologias, Portugal
,
David Geerts
CUO, IBBT / K.U. Leuven, Belgium

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

COFAC: COFAC / Universidade Lusofona de Humanidades e Tecnologías

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2011

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EuroITV '11

Sponsor:

EuroITV '11: 9th International Interactive TV&Video Conference

June 29 - July 1, 2011

Lisbon, Portugal

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Overall Acceptance Rate 52 of 149 submissions, 35%

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Cited By

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Hashimoto IWang YKawai YSumiya K(2021)Topic Detection for Video Stream based on Geographical Relationships and its Interactive Viewing System2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR51284.2021.00012(28-34)Online publication date: Sep-2021
https://doi.org/10.1109/MIPR51284.2021.00012
Srivastava NVelloso ELodge JErfani SBailey JBrewster SFitzpatrick GCox AKostakos V(2019)Continuous Evaluation of Video Lectures from Real-Time Difficulty Self-ReportProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300816(1-12)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300816
Bai QHu QGe LHe L(2019)Stories That Big Danmaku Data Can Tell as a New MediaIEEE Access10.1109/ACCESS.2019.29090547(53509-53519)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2909054
Ko MYeo JLee JLee UJang Y(2016)What Makes Sports Fans Interactive? Identifying Factors Affecting Chat Interactions in Online Sports ViewingPLOS ONE10.1371/journal.pone.014837711:2(e0148377)Online publication date: 5-Feb-2016
https://doi.org/10.1371/journal.pone.0148377
Fião GRomão TCorreia NCentieiro PDias AKuramoto IAndo HWallner G(2016)Automatic Generation of Sport Video Highlights Based on Fan's Emotions and ContentProceedings of the 13th International Conference on Advances in Computer Entertainment Technology10.1145/3001773.3001802(1-6)Online publication date: 9-Nov-2016
https://dl.acm.org/doi/10.1145/3001773.3001802
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
Sun MFarhadi AChen TSeitz S(2016)Ranking Highlights in Personal Videos by Analyzing Edited VideosIEEE Transactions on Image Processing10.1109/TIP.2016.260114725:11(5145-5157)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1109/TIP.2016.2601147
Kim JGuo PCai CLi SGajos KMiller RBenko HDontcheva MWigdor D(2014)Data-driven interaction techniques for improving navigation of educational videosProceedings of the 27th annual ACM symposium on User interface software and technology10.1145/2642918.2647389(563-572)Online publication date: 5-Oct-2014
https://dl.acm.org/doi/10.1145/2642918.2647389
Xia JSingh VWilson DLatulipe CRoto VHäkkilä JVäänänen-Vainio-Mattila KJuhlin OOlsson THvannberg E(2014)Exploring the design space of multiple video interactionProceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational10.1145/2639189.2639247(276-285)Online publication date: 26-Oct-2014
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Kim JGuo PSeaton DMitros PGajos KMiller RSahami MFox AHearst MChi M(2014)Understanding in-video dropouts and interaction peaks inonline lecture videosProceedings of the first ACM conference on Learning @ scale conference10.1145/2556325.2566237(31-40)Online publication date: 4-Mar-2014
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