L Itti

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. ncbi request reprint The role of memory in guiding attention during natural vision
    Ran Carmi
    Neuroscience Program, University of Southern California, Los Angeles, CA, USA
    J Vis 6:898-914. 2006
  2. pmc Training top-down attention improves performance on a triple-conjunction search task
    Farhan Baluch
    Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
    PLoS ONE 5:e9127. 2010
  3. ncbi request reprint Computational modelling of visual attention
    L Itti
    Hedco Neuroscience Building, University of Southern California, 3641 Watt Way, Los Angeles, California 90089 2520, USA
    Nat Rev Neurosci 2:194-203. 2001
  4. pmc Bayesian surprise attracts human attention
    Laurent Itti
    Computer Science Department, University of Southern California, Los Angeles, 90089, USA
    Vision Res 49:1295-306. 2009
  5. ncbi request reprint Automatic foveation for video compression using a neurobiological model of visual attention
    Laurent Itti
    Departments of Computer Science, Psychology and Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089 2520, USA
    IEEE Trans Image Process 13:1304-18. 2004
  6. doi request reprint Performance of visually guided tasks using simulated prosthetic vision and saliency-based cues
    N Parikh
    Department of Biomedical Engineering, University of Southern California, USA
    J Neural Eng 10:026017. 2013
  7. doi request reprint Automatic computation of an image's statistical surprise predicts performance of human observers on a natural image detection task
    T Nathan Mundhenk
    Department of Computer Science, University of Southern California, Hedco Neuroscience Building, HNB 10 Los Angeles, CA 90089 2520, USA
    Vision Res 49:1620-37. 2009
  8. ncbi request reprint Visual causes versus correlates of attentional selection in dynamic scenes
    Ran Carmi
    Neuroscience Program, University of Southern California, USA
    Vision Res 46:4333-45. 2006
  9. ncbi request reprint Saliency-based image processing for retinal prostheses
    N Parikh
    Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
    J Neural Eng 7:16006. 2010
  10. ncbi request reprint Segmentation of progressive multifocal leukoencephalopathy lesions in fluid-attenuated inversion recovery magnetic resonance imaging
    L Itti
    Department of Computer Science, University of Southern California, Hedco Neuroscience Building, Room 30A, 3641 Watt Way, Los Angeles, CA 90089 2520, USA
    J Neuroimaging 11:412-7. 2001

Research Grants

Detail Information

Publications23

  1. ncbi request reprint The role of memory in guiding attention during natural vision
    Ran Carmi
    Neuroscience Program, University of Southern California, Los Angeles, CA, USA
    J Vis 6:898-914. 2006
    ..We propose novel hypotheses and experiments using hybrid natural-artificial stimuli to further elucidate neurocomputational mechanisms of attentional selection...
  2. pmc Training top-down attention improves performance on a triple-conjunction search task
    Farhan Baluch
    Neuroscience Graduate Program, University of Southern California, Los Angeles, California, USA
    PLoS ONE 5:e9127. 2010
    ....
  3. ncbi request reprint Computational modelling of visual attention
    L Itti
    Hedco Neuroscience Building, University of Southern California, 3641 Watt Way, Los Angeles, California 90089 2520, USA
    Nat Rev Neurosci 2:194-203. 2001
    ..Insights from these five key areas provide a framework for a computational and neurobiological understanding of visual attention...
  4. pmc Bayesian surprise attracts human attention
    Laurent Itti
    Computer Science Department, University of Southern California, Los Angeles, 90089, USA
    Vision Res 49:1295-306. 2009
    ..The proposed theory of surprise is applicable across different spatio-temporal scales, modalities, and levels of abstraction...
  5. ncbi request reprint Automatic foveation for video compression using a neurobiological model of visual attention
    Laurent Itti
    Departments of Computer Science, Psychology and Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089 2520, USA
    IEEE Trans Image Process 13:1304-18. 2004
    ..These results suggest a general-purpose usefulness of the algorithm in improving compression ratios of unconstrained video...
  6. doi request reprint Performance of visually guided tasks using simulated prosthetic vision and saliency-based cues
    N Parikh
    Department of Biomedical Engineering, University of Southern California, USA
    J Neural Eng 10:026017. 2013
    ..The objective of this paper is to evaluate the benefits provided by a saliency-based cueing algorithm to normally sighted volunteers performing mobility and search tasks using simulated prosthetic vision...
  7. doi request reprint Automatic computation of an image's statistical surprise predicts performance of human observers on a natural image detection task
    T Nathan Mundhenk
    Department of Computer Science, University of Southern California, Hedco Neuroscience Building, HNB 10 Los Angeles, CA 90089 2520, USA
    Vision Res 49:1620-37. 2009
    ..Surprise also reveals classical Type-B like masking effects intrinsic in natural image RSVP sequences. We summarize these with the discussion of a multistage model of visual attention...
  8. ncbi request reprint Visual causes versus correlates of attentional selection in dynamic scenes
    Ran Carmi
    Neuroscience Program, University of Southern California, USA
    Vision Res 46:4333-45. 2006
    ..In comparison, some static visual cues play a weaker causal role, while other static cues are not causal at all, and may instead reflect top-down causes...
  9. ncbi request reprint Saliency-based image processing for retinal prostheses
    N Parikh
    Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
    J Neural Eng 7:16006. 2010
    ....
  10. ncbi request reprint Segmentation of progressive multifocal leukoencephalopathy lesions in fluid-attenuated inversion recovery magnetic resonance imaging
    L Itti
    Department of Computer Science, University of Southern California, Hedco Neuroscience Building, Room 30A, 3641 Watt Way, Los Angeles, CA 90089 2520, USA
    J Neuroimaging 11:412-7. 2001
    ..The authors compared the reproducibility of a manual and a semiautomated technique for the quantitation of white-matter lesions in magnetic resonance imaging (MRI)...
  11. doi request reprint Quantifying center bias of observers in free viewing of dynamic natural scenes
    Po He Tseng
    Department of Computer Science, University of Southern California, Los Angeles, CA, USA
    J Vis 9:4. 2009
    ..We discuss methods to account for these influences to better assess computational models of visual attention and gaze using natural scene stimuli...
  12. doi request reprint Free viewing of dynamic stimuli by humans and monkeys
    David J Berg
    Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
    J Vis 9:19.1-15. 2009
    ..Although substantial quantitative differences were revealed, strong similarities existed between both species, especially when focusing analysis onto high-interest targets...
  13. doi request reprint A Bayesian model for efficient visual search and recognition
    Lior Elazary
    Department of Computer Science, University of Southern California, Los Angeles, CA 90089 2520, USA
    Vision Res 50:1338-52. 2010
    ..The model is also used for top-down guided search, finding a desired object in a 5x5 search array within four attempts, and improving performance for finding houses in satellite images...
  14. doi request reprint Interesting objects are visually salient
    Lior Elazary
    Department of Computer Science, University of Southern California, Los Angeles, CA, USA
    J Vis 8:3.1-15. 2008
    ..Hence, our results indicate that selecting interesting objects in a scene is largely constrained by low-level visual properties rather than solely determined by higher cognitive processes...
  15. ncbi request reprint Perceptual consequences of feature-based attention
    Jianwei Lu
    Computer Science Department, University of Southern California, Los Angeles, CA, USA
    J Vis 5:622-31. 2005
    ..The resulting single, consistent data set suggests a functional model, which predicts a maximum rule by which only the dominant product of feature enhancement and feature benefit by feature relevance may benefit perception...
  16. ncbi request reprint Modeling the influence of task on attention
    Vidhya Navalpakkam
    Department of Computer Science, Psychology and Neuroscience Graduate Program, University of Southern California, Hedco Neuroscience Building, Room 30A, Mail Code 2520, 3641 Watt Way, Los Angeles, CA 90089 2520, USA
    Vision Res 45:205-31. 2005
    ..These results of our biologically-motivated architecture suggest that the model may provide a reasonable approximation to many brain processes involved in complex task-driven visual behaviors...
  17. ncbi request reprint Top-down attention selection is fine grained
    Vidhya Navalpakkam
    Department of Computer Science, University of Southern California, Los Angeles, CA, USA
    J Vis 6:1180-93. 2006
    ..We conclude that top-down signals are fine grained and can specify multiple gain control terms per dimension...
  18. ncbi request reprint Rapid biologically-inspired scene classification using features shared with visual attention
    Christian Siagian
    Department of Computer Science, University of Southern California, Los Angeles 90089 2520, USA
    IEEE Trans Pattern Anal Mach Intell 29:300-12. 2007
    ..21 percent and 88.62 percent. Combining scenes from all sites (75,073 frames in total) yields 86.45 percent correct classification, demonstrating the generalization and scalability of the approach...
  19. ncbi request reprint Components of bottom-up gaze allocation in natural images
    Robert J Peters
    Computation and Neural Systems, California Institute of Technology, Mail Code 139 74, Caltech, Pasadena, CA 91125, USA
    Vision Res 45:2397-416. 2005
    ..As models of these interactions become more accurate in predicting behaviorally-relevant salient locations, they become useful to a range of applications in computer vision and human-machine interface design...
  20. ncbi request reprint Computational modeling and exploration of contour integration for visual saliency
    T Nathan Mundhenk
    Computer Science Department, University of Southern California Hedco Neuroscience Building, Los Angeles, 90089 2520, USA
    Biol Cybern 93:188-212. 2005
    ..Additionally, a contour integration mechanism may be involved in finding features for objects such as faces. This suggests that visual cortex may be more information efficient and that neural regions may have multiple roles...
  21. ncbi request reprint Automatic scan prescription for brain MRI
    L Itti
    Harbor UCLA Research and Education Institute, University of California Los Angeles, Torrance, California, USA
    Magn Reson Med 45:486-94. 2001
    ..Magn Reson Med 45:486-494, 2001...
  22. ncbi request reprint Search goal tunes visual features optimally
    Vidhya Navalpakkam
    Division of Biology, California Institute of Technology, Pasadena, CA 91125, USA
    Neuron 53:605-17. 2007
    ..We provide experimental evidence toward this through psychophysics experiments on human subjects, thus suggesting that humans deploy the optimal gain modulation strategy...
  23. ncbi request reprint A bottom-up model of spatial attention predicts human error patterns in rapid scene recognition
    Wolfgang Einhäuser
    Division of Biology, California Institute of Technology, Pasadena, CA, USA
    J Vis 7:6.1-13. 2007
    ..Consequently, and contrary to several previously published findings, our results demonstrate that attentional limitations, rather than target recognition alone, affect the detection of targets in rapidly presented visual sequences...

Research Grants1

  1. Attentional Modulation in Early Sensory Processing
    Laurent Itti; Fiscal Year: 2003
    ..This exploratory study will, demonstrate how combining psychophysics, imaging and modeling may yield better quantitative and computational understanding of higher brain function. ..