The Briefest of Glances The Time Course of Natural Scene Understanding. Greene, M. R. & Oliva, A. Psychological Science, 20(4):464--472, April, 2009. PMID: 19399976
The Briefest of Glances The Time Course of Natural Scene Understanding [link]Paper  doi  abstract   bibtex   
What information is available from a brief glance at a novel scene? Although previous efforts to answer this question have focused on scene categorization or object detection, real-world scenes contain a wealth of information whose perceptual availability has yet to be explored. We compared image exposure thresholds in several tasks involving basic-level categorization or global-property classification. All thresholds were remarkably short: Observers achieved 75%-correct performance with presentations ranging from 19 to 67 ms, reaching maximum performance at about 100 ms. Global-property categorization was performed with significantly less presentation time than basic-level categorization, which suggests that there exists a time during early visual processing when a scene may be classified as, for example, a large space or navigable, but not yet as a mountain or lake. Comparing the relative availability of visual information reveals bottlenecks in the accumulation of meaning. Understanding these bottlenecks provides critical insight into the computations underlying rapid visual understanding.
@article{ greene_briefest_2009,
  title = {The Briefest of Glances The Time Course of Natural Scene Understanding},
  volume = {20},
  issn = {0956-7976, 1467-9280},
  url = {http://pss.sagepub.com/content/20/4/464},
  doi = {10.1111/j.1467-9280.2009.02316.x},
  abstract = {What information is available from a brief glance at a novel scene? Although previous efforts to answer this question have focused on scene categorization or object detection, real-world scenes contain a wealth of information whose perceptual availability has yet to be explored. We compared image exposure thresholds in several tasks involving basic-level categorization or global-property classification. All thresholds were remarkably short: Observers achieved 75%-correct performance with presentations ranging from 19 to 67 ms, reaching maximum performance at about 100 ms. Global-property categorization was performed with significantly less presentation time than basic-level categorization, which suggests that there exists a time during early visual processing when a scene may be classified as, for example, a large space or navigable, but not yet as a mountain or lake. Comparing the relative availability of visual information reveals bottlenecks in the accumulation of meaning. Understanding these bottlenecks provides critical insight into the computations underlying rapid visual understanding.},
  language = {en},
  number = {4},
  urldate = {2013-06-13},
  journal = {Psychological Science},
  author = {Greene, Michelle R. and Oliva, Aude},
  month = {April},
  year = {2009},
  note = {{PMID:} 19399976},
  pages = {464--472}
}

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