Describing Images Using Qualitative Models and Description Logics
Zoe Falomir, Ernesto Jiménez-Ruiz, M. Teresa Escrig, Lledó Museros · Spatial Cognition and Computation · 2011
Our approach describes any digital image qualitatively by detecting regions/objects inside it and describing their visual characteristics (shape and colour) and their spatial characteristics (orientation and topology) by means of qualitative models. The description obtained is translated into a description logic (DL) based ontology, which gives a formal and explicit meaning to the qualitative tags representing the visual features of the objects in the image and the spatial relations between them. For any image, our approach obtains a set of individuals that are classified using a DL reasoner according to the descriptions of our ontology.