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High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm

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Introduction

Our paper High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm has been accepted by CVPR2025.

Update

  • 2025.03.04: Upload Benchmark of the HDRVD2K, JVET, HDM datasets.
  • Code of LBSVC and compression details of traditional codecs will be presented later.

Datasets

Our HDRVD2K contains 2164 HDR video clips and each clip includes 15 frames, whose resolution are all 1920x1080 and format are all 16-bit floating .exr. Two test datasets JVET (6 sequences) and HDM (select 10 sequences from all 34 sequnces) are presented. Datasets can be downloaded in BaiduNetdisk. Our dataset is available for the academic purpose only.

Citation

If you find this work useful for your research, please cite:

@inproceedings{tian2025hdrvc,
  title={High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm},
  author={Tian, Zhaoyi and Wang, Feifeng and Wang, Shiwei and Zhou, Zihao and Zhu, Yao and Shen, Liquan},
  booktitle={{IEEE/CVF} Conference on Computer Vision and Pattern Recognition, 2025},
  year={2025}
}

Contact

If you have any questions, please contact kinda@shu.edu.cn.

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High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm

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