TR2003-149

Audio Events Detection Based Highlights Extraction from Baseball, Golf and Soccer Games in a Unified Framework

    •  Xiong, Z., Radhakrishnan, R., Divakaran, A., Huang, T.S., "Audio Events Detection Based Highlights Extraction from Baseball, Golf and Soccer Games in a Unified Framework", IEEE International Conference on Multimedia and Expo (ICME), July 2003, vol. 3, pp. 401-404.
      BibTeX TR2003-149 PDF
      • @inproceedings{Xiong2003jul1,
      • author = {Xiong, Z. and Radhakrishnan, R. and Divakaran, A. and Huang, T.S.},
      • title = {Audio Events Detection Based Highlights Extraction from Baseball, Golf and Soccer Games in a Unified Framework},
      • booktitle = {IEEE International Conference on Multimedia and Expo (ICME)},
      • year = 2003,
      • volume = 3,
      • pages = {401--404},
      • month = jul,
      • url = {https://www.merl.com/publications/TR2003-149}
      • }
Abstract:

We developed a unified framework to extract highlights from three sports: baseball, golf and soccer by detecting some of the common audio events that are directly indicative of highlights. We used MPEG-7 audio features and entropic prior hidden Markov models (HMM) as the audio features and classifier respectively to recognize these common audio events. Together with pre- and post-processing techniques using general sports knowledge, we have been able to generate promising results dealing with the audio track that is dominated by audio mixtures and noisy background.

 

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      Date: July 6, 2003
      Where: IEEE International Conference on Multimedia and Expo (ICME)
      MERL Contacts: Anthony Vetro; Huifang Sun
      Brief
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