Temporal feature induction for baseball highlight classification

  • Authors:
  • Michael Fleischman;Brandon Roy;Deb Roy

  • Affiliations:
  • MIT, Cambridge, MA;MIT, Cambridge, MA;MIT, Cambridge, MA

  • Venue:
  • Proceedings of the 15th international conference on Multimedia
  • Year:
  • 2007

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Abstract

Most approaches to highlight classification in the sports domain exploit only limited temporal information. This paper presents a method, called temporal feature induction, which automatically mines complex temporal information from raw video for use in highlight classification. The method exploits techniques from temporal data mining to discover a codebook of temporal patterns that encode long distance dependencies and duration information. Preliminary experiments show that using such induced temporal features significantly improves performance of a baseball highlight classification system.