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Constrained Levy Exploration (CLE)

demo

Description

Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].

Requirements

$ pip install -r requirements.txt

Executing the demo

To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)

$ python3 demo_CLE.py

References

  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.

  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.

  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.

  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.

About

Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.

phuselab.di.unimi.it/

Topics

eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
Topics
eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
Resources
Readme
License
Activity
Custom properties
Stars
18 stars
Watchers
3 watching
Forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
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Repository files navigation
Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
Topics
eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
Resources
Readme
License
Activity
Custom properties
Stars
18 stars
Watchers
3 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
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Repository files navigation
Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
Topics
eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
Resources
Readme
License
Activity
Custom properties
Stars
18 stars
Watchers
3 watching
Forks
2 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
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var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Repository files navigation
Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
Topics
eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
Resources
Readme
License
Activity
Custom properties
Stars
18 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
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Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
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Repository files navigation
Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
Topics
eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
Resources
Readme
License
Activity
Custom properties
Stars
18 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
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Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
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Repository files navigation
Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
Topics
eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
Resources
Readme
License
Activity
Custom properties
Stars
18 stars
Watchers
3 watching
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Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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Constrained Levy Exploration (CLE)
demo
Description
Generates a visual scanpath by computing gaze shifts as Levy flights on any kind of saliency map (bottom-up or top-down) computed for the given image. Basically a simple, but slightly enhanced, implementation of the algorithm described in the original paper of Boccignone & Ferraro [1]. The only variant with respect to [1] is the use of an internal simulation step along which a number of candidate gaze shifts is sampled [2].
Requirements
$ pip install -r requirements.txt

Executing the demo
To simulate from the model run the following command (it is assumed that saliency map is already computed, if you want to compute it on your own, you may want to use something like this for a low-level one)
$ python3 demo_CLE.py

References
  1. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, October). How to Look Next? A Data-Driven Approach for Scanpath Prediction. In International Symposium on Formal Methods (pp. 131-145). Springer, Cham.
  2. Boccignone, G., Cuculo, V., & D’Amelio, A. (2019, September). Problems with saliency maps. In International Conference on Image Analysis and Processing (pp. 35-46). Springer, Cham.
  3. Boccignone, G., & Ferraro, M. (2013). Feed and fly control of visual scanpaths for foveation image processing. Annals of telecommunications-annales des télécommunications, 68(3-4), 201-217.
  4. Boccignone, G., & Ferraro, M. (2004). Modelling gaze shift as a constrained random walk. Physica A: Statistical Mechanics and its Applications, 331(1-2), 207-218.
About
Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.
phuselab.di.unimi.it/
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eye-trackinggazegaze-estimationlevy-processesscanpathscanpath-prediction
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