MULTIPLE NEURAL NETWORK MODELS FOR FILTERING DURING VIDEO CODING

Abstract: an example device for filtering decoded video data includes one or more processors configured to execute a neural network filtering unit to: receive data from one or more other units of the device, the data from the one or more other units of the device being different than data for a decoded picture of video data, and wherein to receive the data from the one or more other units of the device, the one or more processors are configured to execute the neural network filtering unit to receive boundary strength data from a deblocking unit of the device; determine one or more neural network models to be used to filter a portion of the decoded picture; and filter the portion of the decoded picture using the one or more neural network models and the data from the one or more other units of the device, including the boundary strength data.

Inventor(s): Hongtao Wang, Venkata Meher Satchit Anand Kotra, Jianle Chen, Marta Karczewicz

CPC Classification: G06T9/002 ({using neural networks})

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