
Earlier this year Steven Le Moan presented a paper at the Scandinavian Conference on Image Analysis. Steven summaries the work as following: "Very few works have dared to extend the study of saliency outside the scope of visual attention modeling. Nevertheless, powerful measures of informative content can be derived from it. This paper presents a model to compute saliency maps for spectral images, and introduces one application on the evaluation of dimensionality reduction methods." Read more about this work in the article or look at the poster.