Tool-aided semantics acquisition for live soccer video

The semantics of live sports video has big value in catering the services demanded by users (e.g. live event alert and on-the-fly language selection). This paper develops a tool-aided approach to acquire semantics for live soccer video. First, we develop a gamelog acquisition tool, which not only acquires accurate gamelogs but also gets rid of the heavy manual work of the text-way input. Then we develop algorithms to detect multiple boundaries of each event. The amount of manual work of our approach is very limited thanks to the good attributes of our gamelog acquisition tool: (a). it visualizes and symbolizes names of players, actions, etc; (b). it also requires fewer key strokes and mouse clicks for acquiring event description compared with text-way input. Experimental results show that we only need about 5% of mouse-clicks or key-strokes, 50% of input time, and 10% of file size, compared with the text-way input in English, and that our system can quickly obtain the event multiple boundaries of live soccer video.