High Expressive Spatio-Temporal Relations

The management of images remains a complex task that is currently a cause for several research works in various domains such as GIS, medicine, etc. In line with this, we are interested in this work with the problem of image retrieval that is mainly related to the complexity of image representation. In this paper, we address the problem of relation representation and we propose a novel method for identifying and indexing relations between salient objects. Our method is based on defining several intersection sets for each feature like shape, time, etc. Relations are then computed using a binary intersection matrix between sets. Several types of relations can be calculated using our method in particular spatial and temporal relations. We show how our method is able to provide high expressive power and homogeneous representation to relations in comparison to the traditional methods.