Scene Classification for Baseball Videos Using Spatial and Temporal Features
Mao‐Hsiung Hung, Chaur‐Heh Hsieh, Ying-Chung Zhu · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2006
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.