Guided Search 4.0
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Abstract
Visual input is processed in parallel in the early stages of the visual system. Later, object recognition processes are also massively parallel, matching a visual object with a vast array of stored representation. A tight bottleneck in processing lies between these stages. It permits only one or a few visual objects at any one time to be submitted for recognition. That bottleneck limits performance on visual search tasks when an observer looks for one object in a field containing distracting objects. Guided Search is a model of the workings of that bottleneck. It proposes that a limited set of attributes, derived from early vision, can be used to guide the selection of visual objects. The bottleneck and…
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Authors
1Topics & keywords
Topics
Keywords
- Bottleneck
- Computer science
- Visual search
- Asynchronous communication
- Artificial intelligence
- Cognitive neuroscience of visual object recognition
- Object (grammar)
- Information bottleneck method
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