Encoding and decoding method using temporal context of neural network-based multi-scale feature maps

Abstract

An encoding method includes generating a current reduced feature map by reducing a dimension of a current multilayer feature map, generating a scaled current reduced feature map by performing channel-wise scaling on the current reduced feature map, extracting prior information based on the scaled current reduced feature map, acquiring a scaled previous reduced feature map, extracting a temporal context based on the prior information and the scaled previous reduced feature map, estimating a probability distribution of the current reduced feature map based on the temporal context, and encoding the current reduced feature map based on the probability distribution.