Baseball and tennis video annotation with temporal structure decomposition

Sport video annotation can help viewers easily browse sport video content and quickly find the hot events and highlights in a game. Although many annotation algorithms have been proposed, they are not suitable for practical implementation since the high complexity and the low precision rates are not acceptable. In this paper, a method of sport video temporal structure decomposition, which decomposes the sport video into many video clips, is proposed. Then score box information and additional semantic information are important clues for event annotation. Experimental results show that the proposed algorithm can successfully and effectively decompose video into clips. The annotation results also have extremely high precision and recall rates for both baseball and tennis videos.