Highlights extraction from sports video based on an audio-visual marker detection framework

Ziyou Xiong, Regunathan Radhakrishnan, Ajay Divakaran, Thomas S. Huang

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

Abstract

We propose to use a visual object (e.g., the baseball catcher) detection algorithm to find local, semantic objects in video frames in addition to an audio classification algorithm to find semantic audio objects in the audio track for sports highlights extraction. The highlight candidates are then further grouped into finer-resolution highlight segments, using color or motion information. During the grouping phase, many of the false alarms can be correctly identified and eliminated. Our experimental results with baseball, soccer and golf video are promising.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Multimedia and Expo, ICME 2005
PublisherIEEE Computer Society
Pages4-7
Number of pages4
ISBN (Print)0780393325, 9780780393325
DOIs
StatePublished - 2005
EventIEEE International Conference on Multimedia and Expo, ICME 2005 - Amsterdam, Netherlands
Duration: Jul 6 2005Jul 8 2005

Publication series

NameIEEE International Conference on Multimedia and Expo, ICME 2005
Volume2005

Other

OtherIEEE International Conference on Multimedia and Expo, ICME 2005
CountryNetherlands
CityAmsterdam
Period7/6/057/8/05

Keywords

  • Audio-Visual Markers
  • Finer-Resolution Highlights
  • Sports Highlights

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Highlights extraction from sports video based on an audio-visual marker detection framework'. Together they form a unique fingerprint.

  • Cite this

    Xiong, Z., Radhakrishnan, R., Divakaran, A., & Huang, T. S. (2005). Highlights extraction from sports video based on an audio-visual marker detection framework. In IEEE International Conference on Multimedia and Expo, ICME 2005 (pp. 4-7). [1521352] (IEEE International Conference on Multimedia and Expo, ICME 2005; Vol. 2005). IEEE Computer Society. https://doi.org/10.1109/ICME.2005.1521352