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Soccer highlight detection is an active research topic in recent years. In this paper, we present our effort to detect an important audio keyword - excited commentator speech, which contributes to a state-of-the-art soccer highlight extraction system. We propose an approach of using statistical classifier based on
simultaneously. Moreover, the utilization of high-level rules can effectively complement the insufficiency of statistics-based methods in dealing with complex and broad keyword identification in video annotation. Through empirical evaluation on NIST TRECVID video datasets, the proposed approach is shown to enhance the performance
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