A Robust Quality Enhancement Method Based on Joint Spatial-Temporal Priors for Video Coding

Quality enhancement of HEVC compressed videos has attracted a lot of attentions in recent years. In this article, we propose a robust multi-frame guided attention network (MGANet) to reconstruct high-quality frames based on HEVC compressed videos. In our network, we first use an advanced motion flow...

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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 31; číslo 6; s. 2401 - 2414
Hlavní autori:	Meng, Xiandong, Deng, Xuan, Zhu, Shuyuan, Zhang, Xinfeng, Zeng, Bing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Coders Coding ConvLSTM Encoders-Decoders Encoding Frame design Frames (data processing) guided attention High efficiency video coding (HEVC) Image coding Image reconstruction optical flow quality enhancement Robustness Transforms Video compression
ISSN:	1051-8215, 1558-2205
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