Information Extraction from News Video using Global Rule Induction Technique
نویسنده
چکیده
Global rule induction technique has been successfully used in information extraction (IE) from text documents. In this paper, we employ global rule induction technique to perform information extraction from news video documents. We divide our framework into two levels: shot; and story levels. We use a hybrid algorithm to classify each input video shot into one of the predefined genre types and employ the global rule induction technique to extract story boundary information from a sequence of the classified shots. We evaluated our rule induction based system on ~120-hours of news video provided by the TRECVID. And the results show that we could achieve accuracy in F1-value of over 75%.
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