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Motivated by principles of natural language processing, we talk about rule-based methods for sports video analysis and propose a video parsing system by using grammar. Firstly, we segments video into elementary shots. Then through event detection, shots are annotated with semantic labels to form a token sequence. Finally, the sequence is parsed and validated with grammar to construct a table of content for the video. Different from other systems in the literature, our system is not only able todoi:10.14257/ijunesst.2015.8.11.08 fatcat:elx6l7oglbdkfn4msuiadriu4e