Exploiting structured high-level knowledge for domain-specific visual classification

•Use computational ontologies to represent visual semantics for specific domains.•Integrate high-level structured semantic information into machine learning methods.•Bayesian belief propagation to predict fine-grained classes from visual evidences.•Combine graph-based marginal likelihood estimation with deep learning models.