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A model of saliency-based visual attention for rapid scene analysis

Laurent Itti, Christof Koch, Ernst Niebur

IEEE Transactions on Pattern Analysis and Machine Intelligence · 1998 · 11,427 citations

doi.org/10.1109/34.730558

Abstract

A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographical saliency map. A dynamical neural network then selects attended locations in order of decreasing saliency. The system breaks down the complex problem of scene understanding by rapidly selecting, in a computationally efficient manner, conspicuous locations to be analyzed in detail.

Cite this paper

Itti, L., Koch, C., & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11), 1254–1259. https://doi.org/10.1109/34.730558

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