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The role of scene summary statistics in object recognition
Tim Lauer1, Tim H W Cornelissen2, Dejan Draschkow2
1Scene Grammar Lab, Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany. tlauer@psych.uni-frankfurt.de.
Scientific Reports
|October 4, 2018
Summary
Low-level visual features in scene textures, not just high-level semantics, significantly improve object recognition and semantic processing. This challenges previous assumptions about contextual influences in visual perception.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Computer Vision
Background:
- Object recognition is enhanced by semantic context, but the specific visual information driving this effect remains unclear.
- Previous research focused on high-level semantic scene components, neglecting the potential role of low-level features.
Purpose of the Study:
- To investigate whether low-level visual features of a scene, independent of spatial layout, influence object recognition and semantic processing.
- To determine the contribution of low-level scene statistics versus high-level semantic information to contextual effects in object perception.
Main Methods:
- Generated scene textures preserving summary statistics but lacking spatial layout.
- Conducted behavioral experiments (categorization, object recognition) comparing performance on original scenes, textures, and color controls.
- Utilized event-related potentials (ERPs) to examine neural correlates of object processing in different contexts (N300/N400 effects).
Main Results:
- Participants showed better categorization of textures than color controls, and highest performance with original scenes.
- Object recognition was significantly better for consistent objects on scenes compared to textures, indicating context dependency.
- ERP data revealed N300/N400 effects for inconsistent objects on both scenes and textures, suggesting low-level features modulate semantic processing.
Conclusions:
- Low-level visual features of a scene contribute significantly to object recognition and semantic processing.
- Contextual influences on object perception are not solely dependent on high-level semantic information.
- Findings suggest a more integrated role for visual scene features in understanding object meaning.
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