Computable Framework for Live Sport Broadcast Directing

Danqing Yang, Longfei Zhang, Yufeng Wu, Shugang Li, Dong Liang, Gangyi Ding

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

2 Citations (Scopus)

Abstract

The live broadcast guiding is a live editing behavior. The director's experience can be used to select one of a number of input live broadcast signals for optimal position selection and performance. Since the choice of different lenses and positions has a great influence on the expressiveness of broadcast pictures, the experience of broadcasters is relatively important. This paper proposes a computable live guiding framework for live sports events. By performing label analysis and behavior detection on alternate live broadcast signals to determine the shot boundaries, an editing rule is constructed to realize automatic generation of different types of live video. The experiment is based on a data set constructed from a live four-way badminton video. Comparing it with the actual live video and psychological questionnaire test, it has achieved good results and illustrates the effectiveness of the framework.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages239-240
Number of pages2
ISBN (Electronic)9781728156064
DOIs
Publication statusPublished - Dec 2019
Event21st IEEE International Symposium on Multimedia, ISM 2019 - San Diego, United States
Duration: 9 Dec 201911 Dec 2019

Publication series

NameProceedings - 2019 IEEE International Symposium on Multimedia, ISM 2019

Conference

Conference21st IEEE International Symposium on Multimedia, ISM 2019
Country/TerritoryUnited States
CitySan Diego
Period9/12/1911/12/19

Keywords

  • Computable live broadcast directing framework
  • live video editing
  • video event detection

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