Semantics and statistics for automated image annotation

@inproceedings{Llorente2010SemanticsAS,
  title={Semantics and statistics for automated image annotation},
  author={Ainhoa Llorente},
  year={2010}
}
Automated image annotation consists of a number of techniques that aim to find the correlation between words and image features such as colour, shape, and texture to provide correct annotation words to images. In particular, approaches based on Bayesian theory use machine-learning techniques to learn statistical models from a training set of pre-annotated images and apply them to generate annotations for unseen images. The focus of this thesis lies in demonstrating that an approach, which… CONTINUE READING

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