Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.8K
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
1.8K
Perceptual Constancy01:12

Perceptual Constancy

1.8K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.8K
Visual Agnosia01:12

Visual Agnosia

2.0K
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
2.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Topology-Aware Segmentation Using Discrete Morse Theory.

... International Conference on Learning Representations·2026
Same author

TOPODIFFUSIONNET: A TOPOLOGY-AWARE DIFFUSION MODEL.

... International Conference on Learning Representations·2026
Same author

Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers.

Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition·2026
Same author

Look Hear: Gaze Prediction for Speech-directed Human Attention.

Computer vision - ECCV ... : ... European Conference on Computer Vision : proceedings. European Conference on Computer Vision·2026
Same author

Multiple patterns of selectivity in superior colliculus control visual search.

bioRxiv : the preprint server for biology·2025
Same author

Measuring and predicting where and when pathologists focus their visual attention while grading whole slide images of cancer.

Medical image analysis·2025
Same journal

Analysis of human visual experience data.

Journal of vision·2026
Same journal

Pyramid-based Bayesian modeling for high-resolution behavioral analysis.

Journal of vision·2026
Same journal

Sensation without perception: The white whale effect and perceptual blindness in autonomous vehicles.

Journal of vision·2026
Same journal

Gaze behavior during closed-captioned movie viewing adapts to absent audio through more frequent switching between text and scene.

Journal of vision·2026
Same journal

In pursuit of saccade awareness: Limited volitional control and minimal conscious access to catch-up saccades during smooth pursuit eye movements.

Journal of vision·2026
Same journal

Dissociable effects of element-lifetime and stimulus-duration on local and global motion processing: An equivalent noise study.

Journal of vision·2026
See all related articles

Related Experiment Video

Updated: Apr 28, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

13.6K

Modeling visual clutter perception using proto-object segmentation.

Chen-Ping Yu1, Dimitris Samaras1, Gregory J Zelinsky2

  • 1Department of Computer Science, Stony Brook University, Stony Brook, NY, USA.

Journal of Vision
|June 7, 2014
PubMed
Summary
This summary is machine-generated.

The novel proto-object model accurately predicts visual clutter by counting proto-objects, outperforming other models and object counts. This suggests proto-objects are key to understanding scene complexity.

Keywords:
color clusteringimage segmentationmidlevel visual representationproto-objectssuperpixel mergingvisual clutter

More Related Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.9K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

14.3K

Related Experiment Videos

Last Updated: Apr 28, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

13.6K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

24.9K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

14.3K

Area of Science:

  • Cognitive Science
  • Computer Vision
  • Psychology

Background:

  • Visual clutter significantly impacts human perception and task performance.
  • Existing models struggle to accurately quantify visual clutter in complex scenes.

Purpose of the Study:

  • To introduce and validate the unsupervised proto-object model for visual clutter perception.
  • To assess the model's correlation with human judgments of clutter.
  • To compare the proto-object model against existing clutter estimation methods.

Main Methods:

  • The proto-object model segments images into superpixels and merges them based on color coherence.
  • Clutter is estimated by counting the resulting proto-objects.
  • The model's performance was evaluated against human rankings of 90 realistic scene images.

Main Results:

  • A significant correlation (Spearman's ρ = 0.814) was found between the proto-object model's clutter estimates and human perception.
  • The proto-object model demonstrated robustness, generalizability, and superior performance compared to six other models.
  • The model outperformed object counts in predicting clutter, suggesting proto-objects better represent scene set size.

Conclusions:

  • The proto-object model offers a powerful and accurate method for quantifying visual clutter.
  • Its success highlights the importance of intermediate visual representations (proto-objects) in perception.
  • This model has potential applications in various visual percepts and tasks.