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Related Experiment Video

Updated: Nov 9, 2025

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UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content.

Zhengzhong Tu, Yilin Wang, Neil Birkbeck

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 15, 2021
    PubMed
    Summary

    A new model called VIDEVAL accurately assesses user-generated video quality without needing original footage. This blind video quality assessment (BVQA) model offers state-of-the-art performance with lower computational cost, improving video processing.

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    Area of Science:

    • Computer Vision
    • Multimedia Signal Processing
    • Human-Computer Interaction

    Background:

    • The proliferation of user-generated content (UGC) videos necessitates accurate video quality assessment (VQA) models.
    • Blind VQA (BVQA) for in-the-wild videos is challenging due to unpredictable and complex quality degradations.

    Purpose of the Study:

    • To comprehensively evaluate existing no-reference/blind VQA features and models for UGC videos.
    • To develop an efficient and accurate BVQA model for UGC content.
    • To establish a reliable benchmark for UGC-VQA research.

    Main Methods:

    • Conducted a comprehensive evaluation of leading BVQA features and models.
    • Employed a feature selection strategy to identify key statistical features.
    • Developed a fusion-based model, VIDEVAL, by integrating selected features.

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    Main Results:

    • VIDEVAL achieves state-of-the-art performance in UGC video quality assessment.
    • The model demonstrates considerably lower computational cost compared to existing leading models.
    • A new benchmark for UGC-VQA problem is established, facilitating future research.

    Conclusions:

    • VIDEVAL offers an effective balance between VQA performance and computational efficiency.
    • The study provides valuable insights for designing perceptually optimized VQA models.
    • The developed benchmark and open-source implementation promote reproducible research and public evaluation.