A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency, Scale and Image Description
International Journal of Computer Vision
Detecting Perceptually Important Regions in an Image Based on Human Visual Attention Characteristic
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
Designing games with a purpose
Communications of the ACM - Designing games with a purpose
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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.