Synchronization analysis for synchronized diving videos

The judgements in some sports competitions are subjective tasks, especially in competitions with high requirements on skills, which could lead to unfair results. Synchronized diving is such a skillful competition. Using computer to judge competitions automatically or assist referees to judge can effectively decrease the unfair results. This paper presents a framework for analyzing synchronization for synchronized diving videos. The framework is composed of three steps: (1) silhouette extraction, that can effectively get the diverpsilas silhouette; (2) synchronization feature extraction and representation, that can explicitly achieve synchronization features from synchronized diving videos; (3) synchronization evaluation, that can evaluate synchronization with evaluation function which is constructed by statistic learning method with diving video segments come from different games judged by different referees. The experiment shows that the method can accurately and effectively evaluate the synchronization for synchronized diving videos.