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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.

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