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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

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Author / responsible party
Laurent Itti; Christof Koch; Ernst Niebur
Publisher
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year
1998
Language
English

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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.

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APA 7

Itti, L, Koch, C, & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. https://doi.org/10.1109/34.730558

MLA

Itti, Laurent, et al. "A model of saliency-based visual attention for rapid scene analysis." 1998. https://doi.org/10.1109/34.730558.

Chicago

Itti, Laurent, Christof Koch, and Ernst Niebur. 1998. "A model of saliency-based visual attention for rapid scene analysis.". https://doi.org/10.1109/34.730558.

Harvard

Itti, L, Koch, C. and Niebur, E. 1998, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, available at: https://doi.org/10.1109/34.730558 [Accessed 8 Aug. 2026].

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Title
A model of saliency-based visual attention for rapid scene analysis
Author / contributors
Laurent Itti; Christof Koch; Ernst Niebur
Publisher
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publication year
1998
Language
English

Subjects

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Artificial intelligence; Computer science; Computer vision; Visual attention; Visualization; Pattern recognition (psychology); Image (mathematics); Human visual system model; Saliency map; Artificial neural network; Perception; Neuroscience
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