Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2006.262649
Title: Story boundary detection in news video using global rule induction technique
Authors: Chaisorn, L.
Chua, T.-S. 
Issue Date: 2006
Source: Chaisorn, L., Chua, T.-S. (2006). Story boundary detection in news video using global rule induction technique. 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings 2006 : 2101-2104. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2006.262649
Abstract: Global rule induction technique has been successfully used in information extraction (IE) from text documents. In this paper, we employ the technique to identify story boundaries in news video. 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 boundaries from the sequence of classified shots. We evaluate our rule induction based system on ∼120-hours of news video provided by TRECVID 2003. The results show that we could achieve an F 1 accuracy of over 75%. © 2006 IEEE.
Source Title: 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/41390
ISBN: 1424403677
DOI: 10.1109/ICME.2006.262649
Appears in Collections:Staff Publications

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