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

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Glaucoma: Overview01:25

Glaucoma: Overview

Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
Focusing of Light in the Eye01:16

Focusing of Light in the Eye

Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...

You might also read

Related Articles

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

Sort by
Same author

Evaluating the impact of different green infrastructure strategies on particulate pollutant concentrations in street canyons: a numerical simulation study in Qingdao.

Scientific reports·2026
Same author

Multi-Dimensional Quality Assessment for Single-Image-to-3D Contents: Dataset and Model.

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

Jasmonate activates the PuMYC2-PubHLH93-PuNAC43 transcriptional complex to drive ROS-mediated stone cell development in pear.

Plant physiology·2026
Same author

Personalized modeling of stress and blood pressure reactivity using mobile health data.

Npj mental health research·2026
Same author

The New Frontier of Quality Evaluation for Visual Sensors: A Survey of Large Multimodal Model-Based Methods.

Sensors (Basel, Switzerland)·2026
Same author

Hierarchical Mesh Representation Learning With Spectral Dictionary Embedding.

IEEE transactions on pattern analysis and machine intelligence·2026

Related Experiment Video

Updated: Jul 22, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

How is Visual Attention Influenced by Text Guidance? Database and Model.

Yinan Sun, Xiongkuo Min, Huiyu Duan

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 23, 2024
    PubMed
    Summary

    This study introduces text-guided image saliency (TIS) prediction, analyzing how text influences visual attention. A new dataset and model (TGSal) significantly improve saliency prediction by integrating image and text features.

    More Related Videos

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    15.7K
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    304

    Related Experiment Videos

    Last Updated: Jul 22, 2026

    Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
    13:00

    Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

    Published on: January 23, 2017

    9.9K
    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
    07:36

    Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

    Published on: November 30, 2018

    15.7K
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    304

    Area of Science:

    • Computer Vision
    • Image Processing
    • Human-Computer Interaction

    Background:

    • Visual attention and saliency prediction are key in computer vision.
    • Existing models often overlook the significant impact of accompanying text descriptions on visual attention.

    Purpose of the Study:

    • To comprehensively investigate text-guided image saliency (TIS).
    • To develop and evaluate a novel model for saliency prediction that incorporates text guidance.

    Main Methods:

    • Construction of the SJTU-TIS database with 1200 text-image pairs and eye-tracking data.
    • Analysis of text description influence on visual attention.
    • Proposal of a text-guided saliency (TGSal) prediction model integrating image and text features.

    Main Results:

    • The SJTU-TIS database provides a benchmark for TIS research.
    • The proposed TGSal model demonstrates superior performance over state-of-the-art models on TIS and pure image saliency datasets.
    • TGSal effectively leverages both visual and textual information for accurate saliency prediction.

    Conclusions:

    • Text descriptions significantly influence visual attention and saliency.
    • The TGSal model represents a substantial advancement in text-guided visual saliency prediction.
    • The released dataset and model will foster further research in this domain.