Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers

@inproceedings{Castro2007AutomaticIA,
  title={Automatic Image Annotation Using a Semi-supervised Ensemble of Classifiers},
  author={Heidy Marisol Mar{\'i}n Castro and Luis Enrique Sucar and Eduardo F. Morales},
  booktitle={CIARP},
  year={2007}
}
Automatic image annotation consists on automatically labeling images, or image regions, with a pre-defined set of keywords, which are regarded as descriptors of the high-level semantics of the image. In supervised learning, a set of previously annotated images is required to train a classifier. Annotating a large quantity of images by hand is a tedious and time consuming process; so an alternative approach is to label manually a small subset of images, using the other ones under a semi… CONTINUE READING
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