Abstract
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 language | English |
|---|---|
| Pages (from-to) | I297-I300 |
| Journal | Midwest Symposium on Circuits and Systems |
| Volume | 1 |
| Publication status | Published - 2004 Dec 1 |
| Event | The 2004 47th Midwest Symposium on Circuits and Systems - Conference Proceedings - Hiroshima, Japan Duration: 2004 Jul 25 → 2004 Jul 28 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
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Semantic units detection and summarization of baseball videos. / Liang, Chih Hao; Kuo, Jin Hau; Chu, Wei Ta; Wu, Ja Ling.
In: Midwest Symposium on Circuits and Systems, Vol. 1, 01.12.2004, p. I297-I300.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Semantic units detection and summarization of baseball videos
AU - Liang, Chih Hao
AU - Kuo, Jin Hau
AU - Chu, Wei Ta
AU - Wu, Ja Ling
PY - 2004/12/1
Y1 - 2004/12/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=11144234893&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:11144234893
VL - 1
SP - I297-I300
JO - Midwest Symposium on Circuits and Systems
JF - Midwest Symposium on Circuits and Systems
SN - 1548-3746
ER -