Generating saliency maps using human based computation agents

  • Authors:
  • Fidel Aznar;Mar Pujol;Ramón Rizo

  • Affiliations:
  • Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante

  • Venue:
  • CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
  • Year:
  • 2009

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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.