Patent ID: 11956447
Assignee: GOOGLE LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 5:
6. A method, comprising:
presenting, to a machine-learning model of a first encoder, an image block, wherein the machine-learning model was trained to output a partition decision for encoding the image block with:
training data for a plurality of training blocks, the training data including, for a training block of the plurality of training blocks;
a plurality of partition decisions used by a second encoder for encoding the training block; and
for each partition decision of the plurality of partition decisions, a rate-distortion value resulting from encoding the training block using the partition decision; and
a loss function comprising a combination of:
a partition loss function based upon a relationship between the partition decisions and respective predicted partitions; and
a rate-distortion cost loss function based upon a relationship between the rate-distortion values and respective predicted rate-distortion values;

obtaining the partition decision for encoding the image block from the machine-learning model; and
encoding, in a compressed bitstream, the image block using the partition decision.