Active learning for simultaneous annotation of multiple binary semantic concepts [video content analysis]

@article{Naphade2004ActiveLF,
  title={Active learning for simultaneous annotation of multiple binary semantic concepts [video content analysis]},
  author={Milind R. Naphade and John R. Smith},
  journal={2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)},
  year={2004},
  volume={1},
  pages={77-80 Vol.1}
}
A model-based approach to video analysis requires annotated corpora. Video annotation, however is a very expensive process. Tools that allow users to annotate video shots with scenes, events, and objects should minimize user interaction. These tools should particularly leverage redundancy in content and advances in machine learning and human computer intelligence to reduce the amount of human interaction needed to annotate large corpora. As corpora sizes and the lexicon grows, this is… CONTINUE READING

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