Creating audio keywords for event detection in soccer video

  • Authors:

  • Min Xu;N. C. Maddage;Changsheng Xu;M. Kankanhalli;Qi Tian

  • Affiliations:

  • Infocomm Res. Inst., Heng Mui Keng Terrace, Singapore, Singapore;Infocomm Res. Inst., Heng Mui Keng Terrace, Singapore, Singapore;Infocomm Res. Inst., Heng Mui Keng Terrace, Singapore, Singapore;Infocomm Res. Inst., Heng Mui Keng Terrace, Singapore, Singapore;Infocomm Res. Inst., Heng Mui Keng Terrace, Singapore, Singapore

  • Venue:
  • ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
  • Year:
  • 2003

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Abstract

This paper presents a novel framework called audio keywords to assist event detection in soccer video. Audio keyword is a middle-level representation that can bridge the gap between low-level features and high-level semantics. Audio keywords are created from low-level audio features by using support vector machine learning. The created audio keywords can be used to detect semantic events in soccer video by applying a heuristic mapping. Experiments of audio keywords creation and event detection based on audio keywords have illustrated promising results. According to the experimental results, we believe that audio keyword is an effective representation that is able to achieve more intuitionistic result for event detection in sports video compared with the method of event detection directly based on low-level features.