Patent ID: 11917188
Assignee: WAVEONE INC.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 16:
17. The non-transitory computer-readable medium of claim 12, wherein the machine-learned compression model includes a flow autoencoder and a residue autoencoder, and applying the portion of the machine-learned compression model to the current frame and the parameter map for the current frame further comprises:
obtaining zero or more previously reconstructed frames for the current frame,
applying the flow autoencoder to the current frame, the zero or more previously reconstructed frames, and the parameter map for the current frame to generate flow code as a part of the compressed code and a reconstructed flow for the current frame,
generating a compensated frame by applying a flow operator to the one or more previously reconstructed frames and the reconstructed flow,
generating a residue frame by computing a difference between the current frame and the compensated frame,
applying the residue autoencoder to the compensated frame and the residue frame to generate residue code as another part of the compressed code and a reconstructed residue frame, and
generating a reconstructed version of the current frame by combining the reconstructed residue frame and the compensated frame.