Nov. 30, 2023, 11:31 p.m. | Synced

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A paper titled "Online Video Quality Enhancement with Spatial-Temporal Look-up Tables" introduces a novel method, STLVQE. This research, conducted by a team from Tongji University and Microsoft Research Asia, pioneers the exploration of the online video quality enhancement problem and presents the first method achieving real-time processing speed.


The post Spatial-Temporal Innovation: STLVQE Redefines Real-Time Video Enhancement for an Unmatched Viewing Experience first appeared on Synced.

ai artificial intelligence asia computer vision deep-neural-networks experience exploration innovation look machine learning machine learning & data science microsoft microsoft research ml novel online video paper processing quality real-time real-time processing research spatial speed tables team technology temporal university video video quality video quality enhancement

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