Abstract
This paper presents an agent system, which uses human based computation (HBC), that is able to calculate a saliency map for a specific image. This system will learn from human interaction to obtain a saliency map of the most important parts of an image. As we will see later, the maps generated using HBC are more robust than their classical counterpart, because they are less dependent on the group of features that exist in a given image.
This work has been supported by the Conselleria d’Educació de la Generalitat Valenciana, project GVPRE/2008/040, the University of Alicante, project GRE08P02 and by the Ministerio de Ciencia e Innovación of Spain, project TIN2009-10581.
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Aznar, F., Pujol, M., Rizo, R. (2010). Generating Saliency Maps Using Human Based Computation Agents. In: Meseguer, P., Mandow, L., Gasca, R.M. (eds) Current Topics in Artificial Intelligence. CAEPIA 2009. Lecture Notes in Computer Science(), vol 5988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14264-2_26
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DOI: https://doi.org/10.1007/978-3-642-14264-2_26
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