Image indexing and content-based search using pre-attentive similarities
Alexander Heinrichs, D. Koubaroulis, Barbara V. Levienaise-Obadia, P. Rovida, Jean-Michel Jolion · 2000
In this paper we introduce the general architecture of an image search engine based on pre-attentive similarities. The components of this system are presented and some of them are discussed. Our approach is based on the extraction of interest points using a multiresolution technique. The spatial distribution of these points is embeded in bidimensional histograms of classic features (the first five differential invariants) . A user-based relevance feedback is introduced in order to overcome the limitations of any pre-attentive similarities based scheme. 1 Introduction In the field of image retrieval, one is often interested in achieving a compact representation of the image content using concise but effective characteristic features. One of the most popular approach to retrieval from a large image or video database is iconic request, e.g. find some images similar to the one given as example. Some now well known products are available (for instance [Flickner et al., 1995]). However, th...