Detecting topical events in digital video
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Assessment of image processing algorithms as the keystone of autonomous robot control architectures
Imaging and vision systems
Visual Recognition of Workspace Landmarks for Topological Navigation
Autonomous Robots
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biologically inspired Cartesian and non-Cartesian filters for attentional sequences
Pattern Recognition Letters
Adaptive Behavior
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This study addresses the question of how simple networks can account for a variety of phenomena associated with the shift of a specialized processing focus across the visual scene. We address in particular aspects of the dichotomy between the preattentive-parallel and the attentive-serial modes of visual perception and their hypothetical neuronal implementations. Specifically, we propose the following: (1) A number of elementary features, such as color, orientation, direction of movement, disparity etc. are represented in parallel in different topographical maps, called the early representation. (2) There exists a selective mapping from this early representation into a more central representation, such that at any instant the central representation contains the properties of only a single location in the visual scene, the {\it selected} location. (3) We discuss some selection rules that determine which location will be mapped into the central representation. The major rule, using the saliency or conspicuity of locations in the early representation, is implemented using a so-called Winner-Take-All network. A hierarchical pyramid--like architecture is proposed for this network. We suggest possible implementations in neuronal hardware, including a possible role for the extensive back-projection form the cortex to the LGN.