Cluster-temporal browsing of large news video databases

@article{Rautiainen2004ClustertemporalBO,
  title={Cluster-temporal browsing of large news video databases},
  author={Mika Rautiainen and Timo Ojala and Tapio Sepp{\"a}nen},
  journal={2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)},
  year={2004},
  volume={2},
  pages={751-754 Vol.2}
}
The paper describes cluster-temporal browsing of news video databases. Cluster-temporal browsing combines content similarities and temporal adjacency into a 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… CONTINUE READING
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