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- Publications
- Influence
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
- L. Itti, C. Koch, E. Niebur
- Geography, Computer Science
- IEEE Trans. Pattern Anal. Mach. Intell.
- 1 November 1998
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 topographical… Expand
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 encodes… Expand
Computational modelling of visual attention
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, the… Expand
Bayesian surprise attracts human attention
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 and… Expand
State-of-the-Art in Visual Attention Modeling
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 available… Expand
Components of bottom-up gaze allocation in natural images
- R. J. Peters, A. Iyer, L. Itti, C. Koch
- Medicine, Psychology
- Vision Research
- 1 August 2005
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 of… Expand
Quantitative Analysis of Human-Model Agreement in Visual Saliency Modeling: A Comparative Study
- A. Borji, Dicky N. Sihite, L. Itti
- Computer Science, Medicine
- IEEE Transactions on Image Processing
- 2013
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 factors… Expand
Exploiting local and global patch rarities for saliency detection
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 observation… Expand
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 based… Expand
Modeling the influence of task on attention
- Vidhya Navalpakkam, L. Itti
- Medicine, Psychology
- Vision Research
- 2005
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: determining… Expand