We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
Abstract. The general photographic ad-hoc retrieval task of the ImageCLEF 2007 evaluation campaign is described. This task provides both the resources and the framework necessary t...
Michael Grubinger, Paul Clough, Allan Hanbury, Hen...
This paper proposes a new image representation scheme for database indexing. The application domain is \image-based" indexing as opposed to \content-based" indexing. In ...