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--- |
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license: apache-2.0 |
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--- |
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# MFQEv2 Dataset |
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For some video enhancement/restoration tasks, lossless reference videos are necessary. |
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We open-source the dataset used in our [MFQEv2 paper](https://arxiv.org/abs/1902.09707), which includes 108 lossless YUV videos for training and 18 test videos recommended by [ITU-T](https://ieeexplore.ieee.org/document/6317156). |
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## 1. Content |
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- 108 lossless YUV videos for training. |
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- 18 lossless YUV videos for test, recommended by ITU-T. |
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- An HEVC compression tool box. |
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43.1 GB in total. |
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## 2. Download Raw Videos |
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[[Dropbox]](https://www.dropbox.com/sh/tphdy1lmlpz7zq3/AABR4Qim-P-3xGtouWk6ohi5a?dl=0) |
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or [[百度网盘 (key: mfqe)]](https://pan.baidu.com/s/1oBZf75bFGRanLmQQLAg4Ew) |
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## 3. Compress Videos |
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We compress both training and test videos by [HM](https://hevc.hhi.fraunhofer.de/) 16.5 at low delay P (LDP) mode with QP=37. The video compression toolbox is provided at the dataset folder. |
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We will get: |
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```tex |
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MFQEv2_dataset/ |
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├── train_108/ |
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│ ├── raw/ |
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│ └── HM16.5_LDP/ |
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│ └── QP37/ |
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├── test_18/ |
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│ ├── raw/ |
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│ └── HM16.5_LDP/ |
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│ └── QP37/ |
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├── video_compression/ |
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│ └── ... |
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└── README.md |
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``` |
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### Ubuntu |
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1. `cd video_compression/` |
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2. Edit `option.yml`. |
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3. `chmod +x TAppEncoderStatic` |
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4. `python unzip_n_compress.py` |
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### Windows |
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1. Unzip `train_108.zip` and `test_18.zip` manually! |
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2. `cd video_compression\` |
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3. Edit `option.yml` (e.g., `system: windows`). |
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4. `python unzip_n_compress.py` |
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## 4. Citation |
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If you find this helpful, please star and cite: |
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```tex |
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@article{2019xing, |
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doi = {10.1109/tpami.2019.2944806}, |
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url = {https://doi.org/10.1109%2Ftpami.2019.2944806}, |
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year = 2021, |
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month = {mar}, |
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publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, |
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volume = {43}, |
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number = {3}, |
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pages = {949--963}, |
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author = {Zhenyu Guan and Qunliang Xing and Mai Xu and Ren Yang and Tie Liu and Zulin Wang}, |
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title = {{MFQE} 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video}, |
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journal = {{IEEE} Transactions on Pattern Analysis and Machine Intelligence} |
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} |
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``` |
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