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 Experiment Video

Updated: Mar 14, 2026

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

9.7K

Web Video Event Recognition by Semantic Analysis From Ubiquitous Documents.

Litao Yu, Yang Yang, Zi Huang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |October 6, 2016
    PubMed
    Summary

    This study introduces a new framework for web video event recognition, enhancing understanding by combining visual data with a rich event knowledge base. The approach effectively uses semantic information to improve accuracy in recognizing complex events from web videos.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Reliable Uncertainty Estimation via Discriminative Feature Learning for Evidential Deep Classification.

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

    Hierarchical Consistency Learning for Test-Time Adaptation in Camouflage Perception.

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

    Knowledge Diffusion-Based Adaptive Alignment with Hierarchical Context for Video Temporal Grounding.

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

    OmniCharacter++: Towards Comprehensive Benchmark for Realistic Role-Playing Agents.

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

    Vision-Language Collaborative Representation Learning for Action Quality Assessment.

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

    From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning.

    IEEE transactions on pattern analysis and machine intelligence·2026

    Area of Science:

    • Multimedia analysis
    • Computer vision
    • Natural language processing

    Background:

    • Event recognition from videos is a growing research area.
    • Existing methods often focus on visual cues for small events, struggling with large-granular events and limited text in web videos.
    • Synthesizing visual and semantic analysis is crucial for robust video event understanding.

    Purpose of the Study:

    • To develop a novel framework for complex event recognition in web videos.
    • To address challenges in representing event semantics from incomplete textual information.
    • To effectively leverage the correlation between visual and textual cues for improved video event understanding.

    Main Methods:

    • Constructed an event knowledge base by mining semantic information from web documents to enrich textual cues.

    More Related Videos

    Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
    07:28

    Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

    Published on: November 28, 2025

    354

    Related Experiment Videos

    Last Updated: Mar 14, 2026

    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

    9.7K
    Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis
    07:28

    Web-based Clinician Guide to Record Compatible Video of Standardized Drinking Task Kinematics for Computer Vision Analysis

    Published on: November 28, 2025

    354
  • Developed a two-view adaptive regression model to learn classifiers by exploring correlations between visual and textual cues.
  • Utilized comprehensive semantics from the knowledge base to compensate for insufficient visual cues.

    • Main Results:

    • The proposed framework demonstrated effectiveness in web video event recognition.
    • The event knowledge base significantly improved the performance of event recognition.
    • Experiments on real-world datasets validated the framework's ability to handle complex events.

    Conclusions:

    • The integration of a comprehensive event knowledge base enhances web video event recognition.
    • The two-view adaptive regression model effectively captures the interplay between visual and textual information.
    • The framework offers a promising approach for understanding large-granular events in web videos with limited textual data.