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 Videos

GoP-based Quality Enhancement on Video Compression.

Sangjin Lee, Chajin Shin, Hong-Goo Kang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    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

    Effects of social support interventions on social, physical and mental health outcomes: a scoping review.

    BMJ public health·2026
    Same author

    Red-Emissive Azure A-Derived Carbon Dots with Semi-Ordered sp<sup>2</sup> Domains for Photodynamic Therapy.

    ACS omega·2026
    Same author

    Impact of the 2018 Allocation Criteria Change on Outcomes Following Cardiac Retransplantation Within 30 Days: Analysis of the United Network for Organ Sharing Database.

    JHLT open·2026
    Same author

    ScaleDefrag: Design and implementation of a scalable file defragmentation tool for flash-based SSDs.

    PloS one·2026
    Same author

    Conceptualisation and operationalisation of social support in health interventions: a scoping review.

    BMJ public health·2026
    Same author

    Waitlist and post-transplant outcomes in rural communities with the current heart transplant allocation.

    JHLT open·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

    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
    Same journal

    Multi-Branch Tree-based Fusion Neural Architecture Search with Zero-Cost Screen for Multi-Modal Classification.

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

    Inter-LPCM: Learning-based Inter-Frame Predictive Coding for LiDAR Point Cloud Compression.

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

    This study introduces GoP-based Quality Enhancement (GQE) to improve compressed video quality by addressing Group of Pictures (GoP) level artifacts. The new method significantly reduces visual discomfort caused by codec variations, enhancing overall viewing experience.

    Area of Science:

    • Computer Vision
    • Video Processing
    • Digital Signal Processing

    Background:

    • Increasing demand for high-resolution video strains bandwidth limitations.
    • Existing video enhancement methods often overlook Group of Pictures (GoP) level artifacts, causing viewer discomfort.
    • Codec artifact patterns vary significantly at the GoP level, impacting video quality.

    Purpose of the Study:

    • To propose GoP-based Quality Enhancement (GQE) for improving compressed video quality.
    • To address and mitigate GoP-level artifact variations overlooked by previous research.
    • To enhance viewer comfort by reducing visual artifacts in compressed videos.

    Main Methods:

    • Introduced a GoP Guided Feature Propagation (GGFP) module to propagate I-frame features across GoPs.

    Related Experiment Videos

  • Developed a Temporal Aggregation (TA) module for efficient feature aggregation from I-frames and current frames.
  • Evaluated the GQE model on diverse video sequences and codecs (HEVC, VP9, AV1).

    • Main Results:

    • Significantly reduced pattern shifts in GoP-level artifacts.
    • Demonstrated substantial improvements in overall compressed video quality.
    • Effectively addressed issues related to codec artifact variations at the GoP level.

    Conclusions:

    • GoP-based Quality Enhancement (GQE) effectively improves compressed video quality.
    • The proposed GGFP and TA modules successfully mitigate GoP-level artifacts.
    • This approach offers a promising solution for enhancing video quality in bandwidth-constrained environments.