• Publications
  • Influence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographicalExpand
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  • 1215
A saliency-based search mechanism for overt and covert shifts of visual attention
Most models of visual search, whether involving overt eye movements or covert shifts of attention, are based on the concept of a saliency map, that is, an explicit two-dimensional map that encodesExpand
  • 2,745
  • 263
Computational modelling of visual attention
  • L. Itti, C. Koch
  • Psychology, Medicine
  • Nature Reviews Neuroscience
  • 1 March 2001
Five important trends have emerged from recent work on computational models of focal visual attention that emphasize the bottom-up, image-based control of attentional deployment. First, theExpand
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Bayesian surprise attracts human attention
  • L. Itti, P. Baldi
  • Computer Science, Psychology
  • Vision Research
  • 5 December 2005
We propose a formal Bayesian definition of surprise to capture subjective aspects of sensory information. Surprise measures how data affects an observer, in terms of differences between posterior andExpand
  • 1,206
  • 110
State-of-the-Art in Visual Attention Modeling
  • A. Borji, L. Itti
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 2013
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a very active research area over the past 25 years. Many different models of attention are now availableExpand
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  • 108
Components of bottom-up gaze allocation in natural images
Recent research [Parkhurst, D., Law, K., & Niebur, E., 2002. Modeling the role of salience in the allocation of overt visual attention. Vision Research 42 (1) (2002) 107-123] showed that a model ofExpand
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Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study
Visual attention is a process that enables biological and machine vision systems to select the most relevant regions from a scene. Relevance is determined by two components: 1) top-down factorsExpand
  • 499
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Exploiting local and global patch rarities for saliency detection
  • A. Borji, L. Itti
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 16 June 2012
We introduce a saliency model based on two key ideas. The first one is considering local and global image patch rarities as two complementary processes. The second one is based on our observationExpand
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Automatic foveation for video compression using a neurobiological model of visual attention
  • L. Itti
  • Computer Science, Medicine
  • IEEE Transactions on Image Processing
  • 1 October 2004
We evaluate the applicability of a biologically-motivated algorithm to select visually-salient regions of interest in video streams for multiply-foveated video compression. Regions are selected basedExpand
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Modeling the influence of task on attention
We propose a computational model for the task-specific guidance of visual attention in real-world scenes. Our model emphasizes four aspects that are important in biological vision: determiningExpand
  • 663
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