A cartography of spatial relationships in a symbolic image database

Nguyen Vu Hoang (1, 2) , Valérie Gouet-Brunet (2) , Marta Rukoz (1, 3)

1 LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision
2 CEDRIC - Centre d'études et de recherche en informatique et communications
3 UPN - Université Paris Nanterre

This work addresses the problem of the representation of spatial relationships between symbolic objects in images. We have studied the distribution of several categories of relationships in LabelMe1, a public database of images where objects are annotated manually and online by users. Our objective is to build a cartography of the spatial relationships that can be encountered in a representative database of images of heterogeneous content, with the main aim of exploiting it in future applications of Content-Based Image Indexing (CBIR), such as object recognition or retrieval. In this paper, we present the framework of the experiments made and give an overview of the main results obtained, as an introduction to the website 1 dedicated to this work, whose ambition is to make available all these statistics to the CBIR community.

Domaines: Base de données [cs.DB]

Nguyen Vu Hoang, Valérie Gouet-Brunet, Marta Rukoz. A cartography of spatial relationships in a symbolic image database. 2011. ⟨hal-00875555⟩