Learning to annotate video databases

@inproceedings{Naphade2001LearningTA,
  title={Learning to annotate video databases},
  author={Milind R. Naphade and Ching-Yung Lin and John R. Smith and Belle L. Tseng and Sankar Basu},
  booktitle={Storage and Retrieval for Media Databases},
  year={2001}
}
Model-based approach to video retrieval requires ground-truth data for training the models. This leads to the development of video annotation tools that allow users to annotate each shot in the video sequence as well as to identify and label scenes, events, and objects by applying the labels at the shot-level. The annotation tool considered here also allows the user to associate the object-labels with an individual region in a key-frame image. However, the abundance of video data and diversity… CONTINUE READING

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