Novel Indexing Method of Relations Between Salient Objects

National audienceSince the last decade, image retrieval has been used in several application domains such as GIS, medicine, etc. Queries are formulated using different types of features such low-level features of images (histograms, color distribution, etc.), spatial and temporal relations between salient objects, semantic features, etc. In this paper, we propose a novel method for identifying and indexing several types of relations between salient objects. Spatial relations are used here to show how our method can provide high expressive power to relations in comparison to the traditional methods