Abstract
This paper addresses the problem of the incremental construction of an indexing structure, namely a proximity graph, for large image collections. To this purpose, a local update strategy is examined. Considering an existing graph G and a new node q, how only a relevant sub-graph of G can be updated following the insertion of q? For a given proximity graph, we study the most recent algorithm of the literature and highlight its limitations. Then, a method that leverages an edge-based neighbourhood local update strategy to yield an approximate graph is proposed. Using real-world and synthetic data, the proposed algorithm is tested to assess the accuracy of the approximate graphs. The scalability is verified with large image collections, up to one million images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hacid, H., Yoshida, T.: Incremental neighborhood graphs construction for multidimensional databases indexing. In: Canadian Conference on AI (2007)
Jaromczyk, J.W., Toussaint, G.T.: Relative neighborhood graphs and their relatives. Proc. IEEE 80, 1502–1517 (1992)
Liu, T., Bouali, F., Venturini, G.: EXOD: a tool for building and exploring a large graph of open datasets. Comput. Graph. 39, 117–130 (2014)
Scuturici, M., Scuturici, V.-M., Clech, J., Zighed, D.A.: Navigation dans une base d’images à l’aide de graphes topologiques. In: Inforsid (2004)
Toussaint, G.T.: The relative neighbourhood graph of a finite planar set. Pattern Recogn. 12, 261–268 (1980)
Toussaint, G.T.: Some unsolved problems on proximity graphs (1991)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Rayar, F., Barrat, S., Bouali, F., Venturini, G. (2015). An Approximate Proximity Graph Incremental Construction for Large Image Collections Indexing. In: Esposito, F., Pivert, O., Hacid, MS., Rás, Z., Ferilli, S. (eds) Foundations of Intelligent Systems. ISMIS 2015. Lecture Notes in Computer Science(), vol 9384. Springer, Cham. https://doi.org/10.1007/978-3-319-25252-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-25252-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25251-3
Online ISBN: 978-3-319-25252-0
eBook Packages: Computer ScienceComputer Science (R0)