In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
In this paper, image processing and symbol processing are bridged with a common framework. A new computational architecture allows arbitrary fixed images to be used as attractors ...
In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
This paper proposes an approach of extracting simple and effective features that enhances multilingual document ranking (MLDR). There is limited prior research on capturing the co...
We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used textur...
Peter Howarth, Alexei Yavlinsky, Daniel Heesch, St...