How long to get to the “gist” of real-world natural scenes?

By Guillaume A. Rousselet, Olivier R. Joubert, Michèle Fabre-Thorpe. 2005

216 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d5e992636477690f7c7e423ffcb403b4a62ca8b6

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Citations in the corpus

Building the gist of a scene: the role of global image features in recognition. (2006, background): “…was faster if it belonged to a category from which the colors distributions did not vary greatly across exemplars (for natural scenes like forest, coast, canyons), than for scene categories where color distribution varied (for indoors scenes, urban environments, see also Rousselet et al., 2005).”
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense (2020, background): “[15] Guillaume Rousselet, Olivier Joubert, Michèle Fabre-Thorpe, How long to get to the gist of real-world natural scenes?, Visual Cognition 12 (6) (2005) 852–877.”
Recognition of natural scenes from global properties: Seeing the forest without representing the trees (2008, unknown): “…The previous analyses have shown that with a very brief image exposure, human observers are able to detect the basic-level category of a natural scene substantially above chance (Section 4.2.1; see also [Joubert et al., 2007], [Oliva and Schyns, 2000], [Potter, 1975] and [Rousselet et al., 2005]).”
The natural/man-made distinction is made before basic-level distinctions in scene gist processing (2010, result): “Consistent with many previous scene gist recognition studies (e.g., Kaping et al., 2007; Loschky et al., 2007; McCotter et al., 2005; Oliva & Schyns, 2000; Rousselet et al., 2005), the dependent measure will be category verification accuracy.”
Shining in the Center: Central Gaze Cascade Effect on Product Choice (2012, background): “In brief, with 90% accuracy, briefly presented images of natural scenes (e.g., beach, forest) can be identified (Castelhano and Henderson 2008; Rousselet, Joubert, and Fabre-Thorpe 2005).”