Semantic units detection and summarization of baseball videos

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

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)


A framework for analyzing baseball videos and generation of game summary is proposed. Because of the well-defined rules of baseball games, the system efficiently detects semantic units by the domain-related knowledge, and therefore, automatically discovers the structure of a baseball game. After extracting the information changes that are caused by some semantic events on the superimposed caption, a rule-based decision tree is applied to detect meaningful events. Only three types of information, including number-of-outs, score, and base occupation status, are taken in the detection process, and thus the framework detects events and produces summarization in an efficient and effective manner. The experimental results show the effectiveness of this framework and some research opportunities about generating semantic-level summary for sports videos.

Original languageEnglish
Pages (from-to)I297-I300
JournalMidwest Symposium on Circuits and Systems
Publication statusPublished - 2004 Dec 1
EventThe 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan
Duration: 2004 Jul 252004 Jul 28

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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