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

924
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...
924
Concepts and Prototypes01:24

Concepts and Prototypes

437
The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
The brain organizes this information using concepts, which are mental categories grouping linguistic data,...
437
Schemas01:42

Schemas

12.2K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.2K
Stereotype Content Model02:16

Stereotype Content Model

15.2K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.2K
Visual Agnosia01:12

Visual Agnosia

768
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...
768
Fixed Action Patterns01:06

Fixed Action Patterns

17.2K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.2K

You might also read

Related Articles

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

Sort by
Same author

CondFoodGen: A Conditional Two-Stream Network for Controllable Food Image Generation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

The ethylene-responsive factor OfERF4c interacts with OfVFP4 to regulate petal senescence in Osmanthusfragrans.

Plant physiology and biochemistry : PPB·2026
Same author

A comparative study of vision-language models for food ingredient recognition and nutrient estimation.

Current research in food science·2026
Same author

A unified multi-scale deep learning framework for molecular property prediction that bridges molecular structures and fingerprinting.

Communications chemistry·2026
Same author

Vitrification versus slow freezing for prepubertal ovarian tissue cryopreservation: insights from a porcine xenotransplantation model.

Journal of ovarian research·2026
Same author

OfERF106-OfACS2 regulatory module helps accelerate the aging process of Osmanthus fragrans petals.

Plant cell reports·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

GoP-based Quality Enhancement on Video Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Dec 23, 2025

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
03:56

A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

Published on: October 5, 2018

7.9K

Scene Recognition with Prototype-agnostic Scene Layout.

Gongwei Chen, Xinhang Song, Haitao Zeng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 20, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel Prototype-agnostic Scene Layout (PaSL) method for scene recognition. It effectively captures diverse spatial structures, achieving state-of-the-art results on benchmark datasets.

    More Related Videos

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.0K
    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.6K

    Related Experiment Videos

    Last Updated: Dec 23, 2025

    A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras
    03:56

    A View of Their Own: Capturing the Egocentric View of Infants and Toddlers with Head-Mounted Cameras

    Published on: October 5, 2018

    7.9K
    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.0K
    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.6K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Scene recognition relies on understanding spatial structures, but existing methods struggle with diverse intra-class layouts.
    • Predefined grids or learned prototypes limit the representational power of current structural modeling techniques.

    Purpose of the Study:

    • To develop a flexible and prototype-agnostic method for constructing spatial layouts in scene images.
    • To enhance scene recognition by incorporating topological structures through a graph network.

    Main Methods:

    • Proposed the Prototype-agnostic Scene Layout (PaSL) construction method to model spatial structures without relying on predefined prototypes.
    • Introduced the Layout Graph Network (LGN), defining image regions as nodes and spatial/semantic relations as edges.
    • Utilized graph convolution to integrate topological information into image representations.

    Main Results:

    • Achieved state-of-the-art performance on the MIT67 and SUN397 scene recognition datasets.
    • Demonstrated strong generalization capabilities on the large-scale Places365 dataset.
    • Outperformed existing methods without requiring multi-model or multi-scale fusion.

    Conclusions:

    • The PaSL method offers a flexible approach to modeling diverse spatial characteristics in scene images.
    • The LGN effectively leverages spatial and semantic relationships for improved image representation and scene recognition.
    • The proposed approach shows significant potential for robust and generalized scene recognition across various scales.