Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Scene Classification for Baseball Videos Using Spatial and Temporal Features

Authors
Mao-hsiung Hung 0, Chaur-Heh Hsieh, Ying-Chung Zhu
Corresponding Author
Mao-hsiung Hung
0I-Shou University
Available Online undefined NaN.
DOI
https://doi.org/10.2991/jcis.2006.270How to use a DOI?
Keywords
scene classification, baseball video
Abstract
Correct classification of various kinds of scenes in sport videos is essential for higher-level content analysis such as event detection. The paper presents a novel technique for the classification of the typical scenes of baseball videos. The spatial color features are employed to detect pitch scene first. The temporal features derived from a shot are utilized to classify infield and outfield scenes in the second stage. Simulation results indicate that high accuracy (more than 90 %) of classification is achieved.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.270How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Mao-hsiung Hung
AU  - Chaur-Heh Hsieh
AU  - Ying-Chung Zhu
PY  - NaN/NaN
DA  - NaN/NaN
TI  - Scene Classification for Baseball Videos Using Spatial and Temporal Features
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.270
DO  - https://doi.org/10.2991/jcis.2006.270
ID  - HungNaN/NaN
ER  -