US 12,321,870 B2
Apparatus method and computer program product for probability model overfitting
Nannan Zou, Tampere (FI); Francesco Cricrì, Tampere (FI); Honglei Zhang, Tampere (FI); Hamed Rezazadegan Tavakoli, Espoo (FI); Jani Lainema, Tampere (FI); and Miska Matias Hannuksela, Tampere (FI)
Assigned to Nokia Technologies Oy, Espoo (FI)
Filed by Nokia Technologies Oy, Espoo (FI)
Filed on Dec. 1, 2021, as Appl. No. 17/457,136.
Prior Publication US 2023/0169372 A1, Jun. 1, 2023
Int. Cl. G06N 7/00 (2023.01); G06N 7/01 (2023.01); G06V 10/44 (2022.01); G06V 10/46 (2022.01); G06V 10/84 (2022.01); H04N 19/176 (2014.01); H04N 19/61 (2014.01)
CPC G06N 7/01 (2023.01) [G06V 10/44 (2022.01); G06V 10/467 (2022.01); G06V 10/84 (2022.01); H04N 19/176 (2014.11); H04N 19/61 (2014.11)] 24 Claims
OG exemplary drawing
 
1. An apparatus comprising
at least one processor; and
at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to:
performing, at an encoder, first overfitting of a probability model by performing at least one or more training operations applied to the probability model to obtain an overfitted probability model, wherein one or more parameters of the probability model are trained via the first overfitting;
using, at the encoder, the overfitted probability model to provide probability estimates to a lossless codec or a substantially lossless codec for encoding data;
outputting the encoded data to become part of a bitstream; and
signaling, by the encoder in the bitstream, information to a decoder to perform a second overfitting of a probability model used at the decoder.