Diagnostic Colors Contribute to the Early Stages of Scene Categorization: Behavioral and Neurophysiological Evidence

Goffaux, Valérie; Jacques, Corentin; Mouraux, André; Oliva, Aude; Schyns, Philippe G.; Rossion, Bruno

doi:10.1167/4.8.873

Cited by 18 publications

(18 citation statements)

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“…These results reconcile the apparently contradictory empirical findings of Biederman and Ju (1988) with those of Wurm et al (1993) and Goffaux et al (2005), and are consistent with our prediction that the role of surface information is modulated by the processing duration. Specifically, when the processing time was extremely limited, the color and other surface properties impaired rather than improved the performance on the color photograph trials; even when the processing time was longer, the contribution of the surface-based information to accuracy was very limited and much smaller than that of the edgebased information.…”

Section: Discussionsupporting

confidence: 91%

“…Goffaux et al (2005), using a go/ no-go paradigm, measured ERPs when people categorized normally colored, grayscale and abnormally colored scenes with a 100-ms presentation. They found that the reaction times and accuracy were optimal for the normal version, followed by the grayscale and then the abnormal version; the onset of the early ERP component at the frontal sites mirrored these effects.…”

Section: Introductionmentioning

confidence: 99%

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The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials

Liu

Dienes

et al. 2016

Consciousness and Cognition

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A fundamental question in vision research is whether visual recognition is determined by edge-based information (e.g., edge, line, and conjunction) or surface-based information (e.g., color, brightness, and texture). To investigate this question, we manipulated the stimulus onset asynchrony (SOA) between the scene and the mask in a backward masking task of natural scene categorization. The behavioral results showed that correct classification was higher for line-drawings than for color photographs when the SOA was 13ms, but lower when the SOA was longer. The ERP results revealed that most latencies of early components were shorter for the line-drawings than for the color photographs, and the latencies gradually increased with the SOA for the color photographs but not for the line-drawings. The results provide new evidence that edge-based information is the primary determinant of natural scene categorization, receiving priority processing; by contrast, surface information takes longer to facilitate natural scene categorization.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials

Liu

Dienes

et al. 2016

Consciousness and Cognition

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“…This rapid understanding phenomenon has been observed under different experimental conditions, in which the perception of the image is difficult or degraded, like during rapid sequential visual presentation tasks (Evans & Treisman, 2005;Potter, 1976;Potter, Staub, & O'Connor, 2004), very short presentation time (Kirchner & Thorpe, 2006;Thorpe, Fize, & Marlot, 1996), backward masking (Bacon-Mace, Mace, Fabre- , dual-task conditions (F. F. Li, VanRullen, Koch, & Perona, 2002), and blur (Oliva & Schyns, 1997;Schyns & Oliva, 1994). Cognitive neuroscience research has shown that these recognition events would occur 150 ms after image onset (Delorme, Rousselet, Mace, & Fabre-Thorpe, 2003;Goffaux et al, 2005;Johnson & Olshausen, 2003;Thorpe et al, 1996). This establishes an upper bound on how fast natural image recognition can be made by the visual system and suggests that natural scene recognition can be implemented within a feedforward mechanism of information processing.…”

Section: Scene Context Recognition Without Object Recognitionmentioning

confidence: 99%

Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search.

Torralba

Oliva

Castelhano³

et al. 2006

Psychological Review

1,458

1,361

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Many experiments have shown that the human visual system makes extensive use of contextual information for facilitating object search in natural scenes. However, the question of how to formally model contextual influences is still open. On the basis of a Bayesian framework, the authors present an original approach of attentional guidance by global scene context. The model comprises 2 parallel pathways; one pathway computes local features (saliency) and the other computes global (scenecentered) features. The contextual guidance model of attention combines bottom-up saliency, scene context, and top-down mechanisms at an early stage of visual processing and predicts the image regions likely to be fixated by human observers performing natural search tasks in real-world scenes.Keywords: eye movements, visual search, context, global feature, Bayesian model According to feature-integration theory (Treisman & Gelade, 1980), the search for objects requires slow serial scanning because attention is necessary to integrate low-level features into single objects. Current computational models of visual attention based on saliency maps have been inspired by this approach, as it allows a simple and direct implementation of bottom-up attentional mechanisms that are not task specific. Computational models of image saliency (Itti, Koch, & Niebur, 1998;Koch & Ullman, 1985;Parkhurst, Law, & Niebur, 2002;Rosenholtz, 1999) provide some predictions about which regions are likely to attract observers' attention. These models work best in situations in which the image itself provides little semantic information and in which no specific task is driving the observer's exploration. In real-world images, the semantic content of the scene, the co-occurrence of objects, and task constraints have been shown to play a key role in modulating where attention and eye movements go

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“…This latter approach has been used successfully for the past 15 years by Thorpe and colleagues by applying a go/no-go response mode in ERPs during the categorization of object categories (animal, vehicles, faces, etc. ) in complex visual scenes (e.g., Rousselet, Mace, & FabreThorpe, 2003;Thorpe & Fabre-Thorpe, 2001;VanRullen & Thorpe, 2001;Thorpe, Fize, & Marlot, 1996; see also Goffaux et al, 2005, for global scene categorization). For instance, VanRullen and asked their participants to lift their finger (go) when an animal (Task 1) or a vehicle (Task 2) was present in the visual scene.…”

Section: Introductionmentioning

confidence: 99%

Face Familiarity Decisions Take 200 msec in the Human Brain: Electrophysiological Evidence from a Go/No-go Speeded Task

Caharel

Ramon

Rossion

2014

Journal of Cognitive Neuroscience

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Recognizing a familiar face rapidly is a fundamental human brain function. Here we used scalp EEG to determine the minimal time needed to classify a face as personally familiar or unfamiliar. Go (familiar) and no-go (unfamiliar) responses elicited clear differential waveforms from 210 msec onward, this difference being first observed at right occipito-temporal electrode sites. Similar but delayed (by about 40 msec) responses were observed when go response were required to the unfamiliar rather than familiar faces, in a second group of participants. In both groups, a small increase of amplitude was also observed on the right hemisphere N170 face-sensitive component for familiar faces. However, unlike the post-200 msec differential go/no-go effect, this effect was unrelated to behavior and disappeared with repetition of unfamiliar faces. These observations indicate that accumulation of evidence within the first 200 msec poststimulus onset is sufficient for the human brain to decide whether a person is familiar based on his or her face, a time frame that puts strong constraints on the time course of face processing.

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Diagnostic Colors Contribute to the Early Stages of Scene Categorization: Behavioral and Neurophysiological Evidence

Cited by 18 publications

References 0 publications

The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials

The role of edge-based and surface-based information in natural scene categorization: Evidence from behavior and event-related potentials

Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search.

Face Familiarity Decisions Take 200 msec in the Human Brain: Electrophysiological Evidence from a Go/No-go Speeded Task

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