公开(公告)号：US11900525B2

公开(公告)日：2024-02-13

申请号：US17708628

申请日：2022-03-30

Applicant: Google LLC

Inventor： Philip Andrew Chou ,  Berivan Isik ,  Sung Jin Hwang ,  Nicholas Milo Johnston ,  George Dan Toderici

IPC: G06T15/08 ,  H04N19/176 ,  H04N19/46

CPC classification number: G06T15/08 ,  H04N19/176 ,  H04N19/46

Abstract: Example embodiments of the present disclosure relate to systems and methods for compressing attributes of volumetric and hypervolumetric datasets. An example system performs operations including obtaining a reference dataset comprising attributes indexed by a domain of multidimensional coordinates; subdividing the domain into a plurality of blocks respectively associated with a plurality of attribute subsets; inputting, to a local nonlinear operator, a latent representation for an attribute subset associated with at least one block of the plurality of blocks; obtaining, using the local nonlinear operator and based on the latent representation, an attribute representation of one or more attributes of the attribute subset; and updating the latent representation based on a comparison of the attribute representation and the reference dataset.

公开(公告)号：US20230260197A1

公开(公告)日：2023-08-17

申请号：US17708628

申请日：2022-03-30

Applicant: Google LLC

Inventor： Philip Andrew Chou ,  Berivan Isik ,  Sung Jin Hwang ,  Nicholas Milo Johnston ,  George Dan Toderici

IPC: G06T15/08 ,  H04N19/46 ,  H04N19/176

CPC classification number: G06T15/08 ,  H04N19/46 ,  H04N19/176

Abstract: Example embodiments of the present disclosure relate to systems and methods for compressing attributes of volumetric and hypervolumetric datasets. An example system performs operations including obtaining a reference dataset comprising attributes indexed by a domain of multidimensional coordinates; subdividing the domain into a plurality of blocks respectively associated with a plurality of attribute subsets; inputting, to a local nonlinear operator, a latent representation for an attribute subset associated with at least one block of the plurality of blocks; obtaining, using the local nonlinear operator and based on the latent representation, an attribute representation of one or more attributes of the attribute subset; and updating the latent representation based on a comparison of the attribute representation and the reference dataset.

公开(公告)号：US20240144583A1

公开(公告)日：2024-05-02

申请号：US18398009

申请日：2023-12-27

Applicant: Google LLC

Inventor： Philip Andrew Chou ,  Berivan Isik ,  Sung Jin Hwang ,  Nicholas Milo Johnston ,  George Dan Toderici

IPC: G06T15/08 ,  H04N19/176 ,  H04N19/46

CPC classification number: G06T15/08 ,  H04N19/176 ,  H04N19/46

Abstract: Example embodiments of the present disclosure relate to systems and methods for compressing attributes of volumetric and hypervolumetric datasets. An example system performs operations including obtaining a reference dataset comprising attributes indexed by a domain of multidimensional coordinates; subdividing the domain into a plurality of blocks respectively associated with a plurality of attribute subsets; inputting, to a local nonlinear operator, a latent representation for an attribute subset associated with at least one block of the plurality of blocks; obtaining, using the local nonlinear operator and based on the latent representation, an attribute representation of one or more attributes of the attribute subset; and updating the latent representation based on a comparison of the attribute representation and the reference dataset.