Image Retrieval over Networks : Active Learning using Ant Algorithm

David Picard (1, 2) , Matthieu Cord (2) , Arnaud Revel (3)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 MALIRE - Machine Learning and Information Retrieval
3 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

In this article, we present a framework for distributed content based image retrieval with online learning based on ant-like mobile agents. Mobile agents crawl the network to find images matching a given example query. The images retrieved are shown to the user who labels them, following the classical relevant feedback scheme. The labels are used both to improve the similarity measure used for the retrieval and to learn paths leading to sites containing relevant images. The relevant paths are learned in an ethologically inspired way. We made experiments on the trecvid 2005 keyframe dataset showing that learning both the similarity function and the localization of the relevant images leads to a significant improvement. We also present an extension with the reuse of learned paths for later sessions leading to a further improvement.

Domains: Machine Learning [cs.LG]

David Picard, Matthieu Cord, Arnaud Revel. Image Retrieval over Networks : Active Learning using Ant Algorithm. IEEE Transactions on Multimedia, 2008, 10 (7), pp.1356-1365. ⟨10.1109/TMM.2008.2004913⟩. ⟨hal-00656363⟩