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Aude Oliva

Publications and source records attributed to Aude Oliva.

6 recordsLinked to original sources

Building the gist of a scene: the role of global image features in recognition.

Humans can recognize the gist of a novel image in a single glance, independent of its complexity. How is this remarkable feat accomplished? On the basis of behavioral and computational evidence, this paper describes a formal approach to the representation and the mechanism of scene gist understanding, based on scene-centered, rather than object-centered primitives. We show that the structure of a scene image can be estimated by the mean of global image features, providing a statistical summary of the spatial layout properties (Spatial Envelope representation) of the scene. Global features are based on configurations of spatial scales and are estimated without invoking segmentation or grouping operations. The scene-centered approach is not an alternative to local image analysis but would serve as a feed-forward and parallel pathway of visual processing, able to quickly constrain local feature analysis and enhance object recognition in cluttered natural scenes.

Generalization, Stimulus↗

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

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 (scene-centered) 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.

Attention↗

Panoramic search: the interaction of memory and vision in search through a familiar scene.

How do observers search through familiar scenes? A novel panoramic search method is used to study the interaction of memory and vision in natural search behavior. In panoramic search, observers see part of an unchanging scene larger than their current field of view. A target object can be visible, present in the display but hidden from view, or absent. Visual search efficiency does not change after hundreds of trials through an unchanging scene (Experiment 1). Memory search, in contrast, begins inefficiently but becomes efficient with practice. Given a choice between vision and memory, observers choose vision (Experiments 2 and 3). However, if forced to use their memory on some trials, they learn to use memory on all trials, even when reliable visual information remains available (Experiment 4). The results suggest that observers make a pragmatic choice between vision and memory, with a strong bias toward visual search even for memorized stimuli.

Exploratory Behavior↗

Statistics of natural image categories.

In this paper we study the statistical properties of natural images belonging to different categories and their relevance for scene and object categorization tasks. We discuss how second-order statistics are correlated with image categories, scene scale and objects. We propose how scene categorization could be computed in a feedforward manner in order to provide top-down and contextual information very early in the visual processing chain. Results show how visual categorization based directly on low-level features, without grouping or segmentation stages, can benefit object localization and identification. We show how simple image statistics can be used to predict the presence and absence of objects in the scene before exploring the image.

Nature↗

Segmentation of objects from backgrounds in visual search tasks.

In most visual search experiments in the laboratory, objects are presented on an isolated, blank background. In most real world search tasks, however, the background is continuous and can be complex. In six experiments, we examine the ability of the visual system to separate search items from a background. The results support a view in which objects are separated from backgrounds in a single, preattentive step. This is followed by a limited-capacity search process that selects objects that might be targets for further identification. Identity information regarding the object's status (target or distractor) then accumulates through a limited capacity parallel process. The main effect of background complexity is to slow the accumulation of information in this later recognition stage. It may be that recognition is slowed because background noise causes the preattentive segmentation stage to deliver less effectively segmented objects to later stages. Only when backgrounds become nearly identical to the search objects does the background have the effect of slowing item-by-item selection.

Adult↗

An unbinding problem? The disintegration of visible, previously attended objects does not attract attention.

In seven experiments, observers searched for a scrambled object among normal objects. The critical comparison was between repeated search in which the same set of stimuli remained present in fixed positions in the display for many (>100) trials and unrepeated conditions in which new stimuli were presented on each trial. In repeated search conditions, observers monitored an essentially stable display for the disruption of a clearly visible object. This is an extension of repeated search experiments in which subjects search a fixed set of items for different targets on each trial (Wolfe, Klempen, & Dahlen, 2000) and can be considered as a form of a "change blindness" task. The unrepeated search was very inefficient, showing that a scrambled object does not "pop-out" among intact objects (or vice versa). Interestingly, the repeated search condition was just as inefficient, as if participants had to search for the scrambled target even after extensive experience with the specific change in the specific scene. The results suggest that the attentional processes involved in searching for a target in a novel scene may be very similar to those used to confirm the presence of a target in a familiar scene.

Attention↗