Abstract
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 LabelMe, 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 dedicated to this work, whose ambition is to make available all these statistics to the CBIR community.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Egenhofer, M.J., Al-Taha, K.K.: Reasoning about gradual changes of topological relationships. In: Proc. of the International Conference GIS, pp. 196–219. Springer, Heidelberg (1992)
Hoàng, N.V., Gouet-Brunet, V., Rukoz, M.: A cartography of spatial relationships in a symbolic image database. Note de recherche du LAMSADE, Universite Paris-Dauphine (April 2011)
Huang, P., Lee, C.: Image Database Design Based on 9D-SPA Representation for Spatial Relations. TKDE 16(12), 1486–1496 (2004)
Mayhew, D.: Principles and guidelines in software user interface design. Prentice-Hall, Englewood Cliffs (1992)
Nabil, M., Shepherd, J., Ngu, A.H.H.: 2D projection interval relationships: A symbolic representation of spatial relationships. In: Symposium on Large Spatial Databases, pp. 292–309 (1995)
Park, J., Govindaraju, V., Srihari, S.N.: Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition. International Journal on Document Analysis and Recognition (2000)
Russell, B., Torralba, A., Murphy, K., Freeman, W.: Labelme: a database and web-based tool for image annotation. In Proc. of the International Journal of Computer Vision 177(1-3), 157–173 (2008)
Wang, W., Zhang, A., Song, Y.: Identification of objects from image regions. In: Int. Conf. on Multimedia and Expo. (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hoàng, N.V., Gouet-Brunet, V., Rukoz, M. (2011). A Cartography of Spatial Relationships in a Symbolic Image Database. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23672-3_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-23672-3_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23671-6
Online ISBN: 978-3-642-23672-3
eBook Packages: Computer ScienceComputer Science (R0)