This paper examines the problem of image retrieval from large, heterogeneous image databases. We present a technique that fulfills several needs identified by surveying recent res...
In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations...
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
This paper shows how to use a text retrieval and an image retrieval engine in a cooperative way. The proposed Inter-Media PseudoRelevance Feedback approach shows how the image moda...
Nicolas Maillot, Jean-Pierre Chevallet, Joo-Hwee L...