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the source code of 《Efficient Video Quality Assessment with Deeper Spatiotemporal Feature Extraction and Integration》

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Effificient Video Quality Assessment with Deeper Spatiotemporal Feature Extraction and Integration

License

the source code is coming soon before 2022.1.1.

Description

DSTS-Net code for the following papers:

###English simplified version

Yinhao Liu, Xiaofei Zhou, Haibing Yin*,and so on.

Effificient Video Quality Assessment with Deeper Spatiotemporal Feature Extraction and Integration. Journal of Electronic imaging,SPIE,2021. Framework

###Chinese extend version Yinhao Liu, Wei Zhang and so on.

基于高阶深层时空信息的自媒体视频质量评价 信号处理,2021. Framework

erformace

DSTS-Net KoNViD-1k CVD2014 LIVE-Qualcomm LIVE-VQC
SROCC 0.812 0.881 0.790 0.758
PLCC 0.817 0.876 0.799 0.778

How to use

SOC.py is used to extract second order covariance

DSTS_345_9ff_mean_fc.py is used to build deep temporal modeling network

Contact

It's the first time for me to use the deep-learning and share it in github.

So if you find some error, please feel free to contact me:

Yinhao Liu, [email protected].

Acknowledgment

Code and data prepration largely benefits from VSFA by Dingquan Li.

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the source code of 《Efficient Video Quality Assessment with Deeper Spatiotemporal Feature Extraction and Integration》

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