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A Chinese Traditional Opera Video Super-Resolution Dataset Based on the "Real-world+" Degradation Fusion.

Wang Xi1, Bingxin Qin1, Yichi Zhang1

  • 1Xi'an Jiaotong University, Xi'an, China.

Scientific Data
|February 7, 2026
PubMed
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Researchers developed the Chinese Traditional Opera Video Super-Resolution (CTOVSR) dataset to preserve aged opera videos. This dataset features real-world degradation and aids in historical video restoration efforts.

Area of Science:

  • Computer Vision
  • Digital Heritage Preservation
  • Cultural Informatics

Background:

  • Traditional Chinese opera is a significant intangible cultural heritage.
  • Aged opera videos face degradation, risking loss of cultural heritage.
  • Existing datasets may not accurately represent real-world video degradation.

Purpose of the Study:

  • To introduce the Chinese Traditional Opera Video Super-Resolution (CTOVSR) dataset.
  • To propose a novel method for constructing realistic low-resolution (LR) and high-resolution (HR) video pairs.
  • To facilitate research in video super-resolution for cultural heritage preservation.

Main Methods:

  • Analyzed the video degradation process across its lifecycle.
  • Developed the "Real-world+" method for constructing spatially and temporally aligned LR-HR video pairs.

Related Experiment Videos

  • Augmented the dataset with synthetically degraded data.

    • Main Results:

    • Created 900 LR-HR video sequence pairs (100 frames each) of Chinese traditional opera.
    • The "Real-world+" method ensures accurate reflection of real-world degradation.
    • The dataset captures unique elements of Chinese traditional opera.

    Conclusions:

    • The CTOVSR dataset is a valuable resource for Chinese traditional opera video super-resolution.
    • The proposed dataset construction methodology is applicable to other forms of historical heritage.
    • This work contributes to the digital preservation of intangible cultural heritage.