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

Claim 18:
19. An apparatus, comprising:
a machine-learning model;
an encoder that generates training data by encoding each training block of a plurality of training blocks multiple times, each time encoding a respective training block using a respective partition decision of a plurality of partition decisions; and
a processor configured to train the machine-learning model to output a partition decision for encoding an image block by:
receiving the training data, the training data including, for a training block of the plurality of training blocks:
the partition decisions used by the encoder for encoding the training block; and
for each partition decision of the partition decisions, a rate-distortion value resulting from encoding the training block using the partition decision, a loss function for training of the machine-learning model comprising a combination of:
a partition loss function that is based upon a relationship between the partition decisions and respective predicted partitions; and
a rate-distortion cost loss function that is based upon a relationship between the rate-distortion values and respective predicted rate-distortion values.