Semantic Image Analysis Using a Learning Approach and Spatial Context

@inproceedings{Papadopoulos2006SemanticIA,
  title={Semantic Image Analysis Using a Learning Approach and Spatial Context},
  author={Georgios Th. Papadopoulos and Vasileios Mezaris and Stamatia Dasiopoulou and Yiannis Kompatsiaris},
  booktitle={SAMT},
  year={2006}
}
In this paper, a learning approach coupling Support Vector Machines (SVMs) and a Genetic Algorithm (GA) is presented for knowledge-assisted semantic image analysis in specific domains. Explicitly defined domain knowledge under the proposed approach includes objects of the domain of interest and their spatial relations. SVMs are employed using low-level features to extract implicit information for each object of interest via training in order to provide an initial annotation of the image regions… CONTINUE READING

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