Computational modelling of visual attention¶
Itti, L., & Koch, C. (2001). Computational modelling of visual attention. Nature Reviews Neuroscience, 2(3), 194-203.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Attention
- The transfer mechanism — that salience weighting, interrupt protocols, curated feeds, and attention metrics are mathematically equivalent across cognitive, organizational, and computational substrates — was made explicit in Itti and Koch's (2001) computational saliency-map framework, which mechanizes the bottom-up control of attentional deployment in a form portable across substrates.
This sourceCanonical saliency-map framework formalizing bottom-up attentional deployment as a substrate-portable computation.
Supported in partVerified against the publisher's abstract
The abstract confirms the saliency map as a plausible bottom-up control strategy for attentional deployment, but says nothing about mathematical equivalence or portability across cognitive, organizational, and computational substrates.
“a unique 'saliency map' topographically encoding for stimulus conspicuity over the visual scene has proved to be an efficient and plausible bottom-up control strategy”
- The transfer mechanism — that salience weighting, interrupt protocols, curated feeds, and attention metrics are mathematically equivalent across cognitive, organizational, and computational substrates — was made explicit in Itti and Koch's (2001) computational saliency-map framework, which mechanizes the bottom-up control of attentional deployment in a form portable across substrates.
- Salience
- In vision and perception, visual saliency maps predict where eyes fixate from feature-contrast across color, orientation, motion, and luminance.
This sourceReviews bottom-up visual saliency maps predicting fixations from feature-contrast across color, orientation, motion, and luminance.
Supported in partVerified against the publisher's abstract
The abstract backs a bottom-up 'saliency map' encoding stimulus conspicuity, but it never names color, orientation, motion or luminance channels nor says the maps predict fixation points.
“a unique 'saliency map' topographically encoding for stimulus conspicuity over the visual scene has proved to be an efficient and plausible bottom-up control strategy”
- In vision and perception, visual saliency maps predict where eyes fixate from feature-contrast across color, orientation, motion, and luminance.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 2 of 2 citations: 2 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
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Registry ID ref:a8e395f0baf8 · see in the full table