Topic labeling of broadcast news stories in the informedia digital video library

Alexander G. Hauptmann, Danny Lee
1998 Proceedings of the third ACM conference on Digital libraries - DL '98  
This paper describes the implementation of a topic labeling component for the Informedia Digital Video Library. Each news story recorded from the evening news is assigned to one of 3178 topic categories using a K-nearest neighbor classification algorithm. In preliminary tests, the system achieved recall of 0.49 1 with relevance of 0.482 when up to 5 topics could be assigned to a news story.
doi:10.1145/276675.276733 dblp:conf/dl/HauptmannL98 fatcat:wposl5pucjhc5pj4vvahpybgc4