Designing a system for the automatic generation of sport video summaries

Teresa Romão, Pedro Centieiro, Guilherme Fião, Nuno Correia, A. Eduardo Dias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017
PublisherAssociation for Computing Machinery, Inc
Pages69-74
Number of pages6
ISBN (Electronic)978-145035083-9
DOIs
Publication statusPublished - 26 Jun 2017
Event9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017 - Lisbon, Portugal
Duration: 26 Jun 201729 Jun 2017

Conference

Conference9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017
CountryPortugal
CityLisbon
Period26/06/1729/06/17

Keywords

  • Emotion assessment
  • Highlights
  • Hybrid summarization technique
  • Sports
  • Video summarization

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  • Cite this

    Romão, T., Centieiro, P., Fião, G., Correia, N., & Dias, A. E. (2017). Designing a system for the automatic generation of sport video summaries. In Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2017 (pp. 69-74). Association for Computing Machinery, Inc. https://doi.org/10.1145/3102113.3102130