<< Back to list
Rautiainen M, Ojala T & Seppänen T (2004)
Cluster-temporal browsing of large news video databases.
Proc. 2004 IEEE International Conference on Multimedia and Expo, Taipei, Taiwan, 2:751-754.
This paper describes cluster-temporal browsing of news video database.
Cluster-temporal browsing combines content similarities and temporal
adjacency into single representation. Visual, conceptual and lexical
features are used to organize and view similar shot content. Interactive
experiments with eight test users have been carried out using a database of
roughly 60 hours of news video. Results indicate improvements in browsing
efficiency when automatic speech recognition transcripts are incorporated
into browsing by visual similarity. Cluster-temporal browsing application
received positive comments from the test users and performed well in overall
comparison of interactive video retrieval systems in TRECVID 2003
Full paper (PDF)