Patent ID: 11902369
Assignee: PREFERRED NETWORKS, INC.
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 21:
22. A device for compressing data comprising:
at least one memory; and
at least one processor configured to:
acquire data to be compressed; and
generate compressed data based on an output obtained by inputting the data into a first neural network model;

wherein a size of the compressed data is smaller than a size of the data, and the compressed data includes at least a feature regarding a first resolution and a feature regarding a second resolution, the second resolution is higher than the first resolution,
wherein, in a device for decompressing data, the feature regarding the first resolution is inputted into one layer of a second neural network model and the feature regarding the second resolution is inputted into another layer of the second neural network model, the another layer being different from the one layer,
wherein the first neural network model has at least one layer and another layer which is deeper than the one layer of the first neural network model, the feature regarding the first resolution is generated based on an output of the another layer of the first neural network model, and the feature regarding the second resolution is generated based on at least a first portion of an output of the one layer of the first neural network model, and
wherein at least a second portion of the output of the one layer of the first neural network model is inputted into the another layer of the first neural network model.