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

Constraints and Statical Determinacy01:26

Constraints and Statical Determinacy

647
In structural engineering, the equilibrium of a system is not only determined by its equations of equilibrium but also with the help of constraints. Constraints refer to restrictions on the motion of a system. The proper combinations of constraints can minimize the total number of constraints needed to maintain a system in mechanical equilibrium. When this happens, the system is said to be statically determinate. For such systems, the unknown reaction supports can be estimated using equilibrium...
647
Structural Classification of Joints01:20

Structural Classification of Joints

3.6K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
3.6K
Functional Classification of Joints01:09

Functional Classification of Joints

4.2K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
4.2K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

428
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
428

You might also read

Related Articles

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

Sort by
Same author

Multi-Level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL.

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

Elevated suspended particulate matter reorganises carbon fraction in mangrove ecosystems.

Marine environmental research·2026
Same author

Learning Prompt Adapters for Forgetting-Free Continual Image Super-Resolution.

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

Overcoming Dual Incremental Challenges in Continual Person Search via Adapter and Prototype.

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

ActPrompt: In-Domain Feature Adaptation via Action Cues for Video Temporal Grounding.

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

Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026
Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Jul 31, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.0K

Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint.

Guozhang Li, De Cheng, Xinpeng Ding

    IEEE Transactions on Neural Networks and Learning Systems
    |May 3, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method to improve weakly supervised temporal action localization (WTAL) by reducing misclassification of similar actions. The bidirectional semantic consistency constraint (Bi-SCC) effectively distinguishes positive actions from co-scene actions, enhancing localization accuracy.

    More Related Videos

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    591
    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

    15.8K

    Related Experiment Videos

    Last Updated: Jul 31, 2025

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    9.0K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    591
    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

    15.8K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Weakly supervised temporal action localization (WTAL) trains models using only video-level labels, lacking precise temporal boundary information.
    • Existing WTAL methods often oversimplify, leading to misclassification of co-occurring actions within the same scene as the primary action.
    • This suboptimization hinders accurate localization by failing to differentiate between intended actions and similar, concurrent actions.

    Purpose of the Study:

    • To develop an efficient method, bidirectional semantic consistency constraint (Bi-SCC), to accurately distinguish positive actions from co-scene actions in WTAL.
    • To address the misclassification issue inherent in current WTAL approaches.
    • To enhance the performance of existing WTAL models by improving action localization accuracy.

    Main Methods:

    • Proposed the bidirectional semantic consistency constraint (Bi-SCC) to differentiate positive actions from co-scene actions.
    • Introduced temporal context augmentation to create videos that decouple positive actions from co-scene actions.
    • Implemented a bidirectional consistency constraint to enforce agreement between original and augmented videos, suppressing co-scene actions while preserving positive action integrity.

    Main Results:

    • The Bi-SCC method effectively suppresses the misclassification of co-scene actions.
    • The bidirectional approach ensures the completeness of localized positive actions, unlike previous methods.
    • Experimental results demonstrate superior performance compared to state-of-the-art methods on THUMOS14 and ActivityNet datasets.

    Conclusions:

    • The proposed Bi-SCC method is a simple yet effective enhancement for WTAL.
    • Bi-SCC improves action localization accuracy by addressing the challenge of co-scene actions.
    • The approach offers a significant advancement in weakly supervised temporal action localization.