Alibaba Group Holding Limited
CONVOLUTIONAL-NEUTRAL-NETWORK BASED FILTER FOR VIDEO CODING

Abstract:

The present disclosure provides methods for convolutional-neural-network (CNN) based filter for video coding. An exemplary method includes: applying motion estimation to a target coding block, to determine a reference block of the target coding block; inputting, to a convolutional neural network (CNN) filter, image data associated with the target coding block and the reference block; and executing the CNN filter to determine a residual associated with the target coding block based on the input image data.