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The problem of highlight detection and recognition in soccer video has been a hot research topic in many fields, such as image processing, pattern recognition, and machine learning. This paper puts forward a novel algorithm to detect soccer highlights, which is made up of three phases. In the first stage, slow motion replay segments are located through the analysis of visual rhythm and the structure tensor histogram; In the second stage, we concentrate on the detection of the goal net according to its edge projection in the vertical direction; In the end, a set of heuristic rules are employed to identify the goal shots or near-miss shots from the soccer video based on the recognition result of the previous stage. Experimental results show that our method is effective and efficient.