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

The Influence of Affect on Cognition01:29

The Influence of Affect on Cognition

422
Positive affect significantly influences cognitive processes, including evaluation, memory, creativity, and social judgments. Compared to negative affect, positive emotional states promote more favorable interpretations of stimuli, cognitive flexibility, and heuristic processing. These effects highlight emotions' powerful role in shaping how individuals perceive, remember, and interact with the world.Influence on Evaluation and AttributionWhen individuals experience positive affect, they are...
422
The Influence of Cognition on Affect01:29

The Influence of Cognition on Affect

312
Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
312

You might also read

Related Articles

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

Sort by
Same author

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Topo4D++: Realistic Physically Based 4D Head Capture With Topology-Preserving Gaussian Splatting and Expression Priors.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Longitudinal Study of Changes in Retinal Curvature and its Relationship With Myopia Shift in Chinese Children.

Investigative ophthalmology & visual science·2025
Same author

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge.

IEEE transactions on medical imaging·2025
Same author

Large Generative Model Impulsed Lightweight Gaze Estimator via Deformable Approximate Large Kernel Pursuit.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

High <i>Frankia</i> abundance and low diversity of microbial community are associated with nodulation specificity and stability of sea buckthorn root nodule.

Frontiers in plant science·2024

Related Experiment Video

Updated: Apr 17, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.8K

Data-Driven Affective Filtering for Images and Videos.

Teng Li, Bingbing Ni, Mengdi Xu

    IEEE Transactions on Cybernetics
    |February 13, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel system for synthesizing emotions in images and videos. The data-driven framework effectively applies affective filtering for natural visual emotion expression.

    More Related Videos

    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
    07:12

    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

    Published on: August 26, 2016

    10.0K

    Related Experiment Videos

    Last Updated: Apr 17, 2026

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
    06:37

    Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

    Published on: December 15, 2023

    5.8K
    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation
    07:12

    Protocol for Data Collection and Analysis Applied to Automated Facial Expression Analysis Technology and Temporal Analysis for Sensory Evaluation

    Published on: August 26, 2016

    10.0K

    Area of Science:

    • Computer Vision
    • Affective Computing
    • Machine Learning

    Background:

    • Traditional methods for visual emotion synthesis rely on empirical knowledge.
    • A data-driven approach is needed to extract nuanced emotion-related information from visual data.

    Purpose of the Study:

    • To develop a novel system for synthesizing user-specified emotions onto images and videos.
    • To propose a data-driven learning framework for extracting emotion-related knowledge from annotated images.
    • To implement an affective filtering method for natural emotion expression in visual media.

    Main Methods:

    • Clustering emotion-annotated images into scene subgroups for model learning.
    • Modeling visual affection using Gaussian mixture models based on local color features.
    • Aligning target feature distributions to statistical models via piecewise linear transformation.
    • Employing a learning algorithm with regularization for spatial, edge, and temporal smoothness.

    Main Results:

    • The proposed framework successfully extracts emotion-related knowledge from image data.
    • Affective filtering effectively aligns visual features to desired emotional models.
    • The system achieves natural and effective emotion synthesis in experimental results and user studies.

    Conclusions:

    • The developed system provides a robust method for visual emotion synthesis.
    • The data-driven affective filtering framework offers a significant advancement in affective computing.
    • The approach ensures natural and smooth emotional transformations in images and videos.