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Designing a system for the automatic generation of sport video summaries

Authors:

A. Eduardo DiasAuthors Info & Claims

EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Pages 69 - 74

https://doi.org/10.1145/3102113.3102130

Published: 26 June 2017 Publication History

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Abstract

This paper describes the design and implementation of video summaries based on external and internal content. The system uses the emotions shared by the spectators during a football (soccer) match, the audio of the broadcast video, the analysis of the movement present in the video and manual annotations (when available). The paper describes the design decisions to take user interaction and user information into account when generating the final resulting video. The system also supports queries to extract specific clips, such as dangerous attacking plays of a certain team. The paper presents our preliminary evaluation studies, performance assessment and user evaluation, and the corresponding results, which were encouraging, showing that the creation of these summaries can be successfully done in relatively little time.

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Sanvido PKurtz GTeixeira CWagner PLeuck LSilveira MTietzmann RManssour I(2021)PeakVis: a Visual Analysis Tool for Social Network Data and Video Broadcasts2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC51774.2021.00065(418-427)Online publication date: Jul-2021
https://doi.org/10.1109/COMPSAC51774.2021.00065

Index Terms

Designing a system for the automatic generation of sport video summaries
1. Human-centered computing

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Published In

EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 2017

164 pages

ISBN:9781450350839

DOI:10.1145/3102113

Conference Chairs:
José Creissac Campos,
Nuno Nunes

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]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2017

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FCT/MEC NOVA LINCS PEst

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EICS '17

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SIGCHI

EICS '17: ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 26 - 29, 2017

Lisbon, Portugal

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Overall Acceptance Rate 73 of 299 submissions, 24%

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Cited By

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Sanvido PKurtz GTeixeira CWagner PLeuck LSilveira MTietzmann RManssour I(2021)PeakVis: a Visual Analysis Tool for Social Network Data and Video Broadcasts2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC51774.2021.00065(418-427)Online publication date: Jul-2021
https://doi.org/10.1109/COMPSAC51774.2021.00065

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Index Terms

Recommendations

Automatic Generation of Sport Video Highlights Based on Fan's Emotions and Content

Game idea jam for sport and exertion games

Designing for Bodily Interplay in Social Exertion Games