Automatic generation of sport video highlights based on fan's emotions and content

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

With the widespread use of social networks, sharing emotions has become easy and accessible to anyone with a smartphone or a computer. In this paper, we present a system capable of generating automatic highlight videos of sports match TV broadcasts based on the emotions shared by the spectators during the match, the audio, the analysis of the movement and manual annotations (when available). Our system also allows for the user to query the video to extract specific clips, such as dangerous attacking plays of a certain team. Our preliminary results were encouraging, showing that the creation of these summaries can be successfully done in very short time.

Original languageEnglish
Title of host publicationProceedings - 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016
PublisherACM - Association for Computing Machinery
VolumePart F125634
ISBN (Electronic)978-1-4503-4773-0
DOIs
Publication statusPublished - 9 Nov 2016
Event13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 - Osaka, Japan
Duration: 9 Nov 201612 Nov 2016

Conference

Conference13th International Conference on Advances in Computer Entertainment Technology, ACE 2016
Country/TerritoryJapan
CityOsaka
Period9/11/1612/11/16

Keywords

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

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