Baseball event detection using game-specific feature sets and rules

Chih Hao Liang, Wei Ta Chu, Jin Hau Kuo, Ja Ling Wu, Wen Huang Cheng

Research output: Contribution to journalConference article

10 Citations (Scopus)


A framework for scrutinizing baseball videos is proposed. By applying the well-defined baseball rules, this work exactly identifies what happens in a game rather than roughly finding some interesting parts. After extracting the information changes on the superimposed caption, a rulebased decision is applied to detect meaningful events. Only three types of information, including number of outs, number of scores, and base-occupation situation, have to be considered in the detection process. The experimental results show the effectiveness of this framework and demonstrate some research opportunities about generating semantic-level summary or indexing for sports videos.

Original languageEnglish
Article number1465465
Pages (from-to)3829-3832
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 2005 Dec 1
EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
Duration: 2005 May 232005 May 26


All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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