Image Interpretation by Combining Ontologies and Bayesian Networks [chapter]

Spiros Nikolopoulos, Georgios Th. Papadopoulos, Ioannis Kompatsiaris, Ioannis Patras
2012 Lecture Notes in Computer Science  
A drawback of current computer vision techniques is that, in contrast to human perception that makes use of logic-based rules, they fail to benefit from knowledge that is provided explicitly. In this work we propose a framework that performs knowledge-assisted analysis of visual content using ontologies to model domain knowledge and conditional probabilities to model the application context. A bayesian network (BN) is used for integrating statistical and explicit knowledge and perform
more » ... testing using evidence-driven probabilistic inference. Our results show significant improvements compared to a baseline approach that does not make any use of context or domain knowledge.
doi:10.1007/978-3-642-30448-4_39 fatcat:yrbi3oyxvncj7hpyeoeszvegne