Please use this identifier to cite or link to this item:
|Title:||Story boundary detection in news video using global rule induction technique|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 6, 2018
WEB OF SCIENCETM
checked on Jan 23, 2018
checked on Mar 11, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.