Scene Classification for Baseball Videos Using Spatial and Temporal Features
Mao-hsiung Hung 0, Chaur-Heh Hsieh, Ying-Chung Zhu
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- https://doi.org/10.2991/jcis.2006.270How to use a DOI?
- scene classification, baseball video
- 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.
- 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 -