公开(公告)号：US20230186029A1

公开(公告)日：2023-06-15

申请号：US18166525

申请日：2023-02-09

Applicant: Google LLC

Inventor： Victor Carbune ,  Alexandru-Marian Damian

IPC: G06F40/295 ,  G06N20/00 ,  G06N3/08 ,  G06F40/56 ,  G06V10/82 ,  G06V20/30 ,  G06N3/088 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2132 ,  G06N3/045 ,  G06N3/047 ,  G06V10/764

CPC classification number: G06F40/295 ,  G06F18/23 ,  G06F18/24 ,  G06F18/2132 ,  G06F40/56 ,  G06N3/08 ,  G06N3/045 ,  G06N3/047 ,  G06N3/088 ,  G06N20/00 ,  G06V10/82 ,  G06V10/764 ,  G06V20/30

Abstract: A computing system can include one or more machine-learned models configured to receive context data that describes one or more entities to be named. In response to receipt of the context data, the machine-learned model(s) can generate output data that describes one or more names for the entity or entities described by the context data. The computing system can be configured to perform operations including inputting the context data into the machine-learned model(s). The operations can include receiving, as an output of the machine-learned model(s), the output data that describes the name(s) for the entity or entities described by the context data. The operations can include storing at least one name described by the output data.

公开(公告)号：US20210064921A1

公开(公告)日：2021-03-04

申请号：US16552253

申请日：2019-08-27

Applicant: Google LLC

Inventor： Victor Carbune ,  Alexandru-Marian Damian

IPC: G06K9/62 ,  G06F17/27 ,  G06F17/28 ,  G06N20/00 ,  G06N3/08

Abstract: A computing system can include one or more machine-learned models configured to receive context data that describes one or more entities to be named. In response to receipt of the context data, the machine-learned model(s) can generate output data that describes one or more names for the entity or entities described by the context data. The computing system can be configured to perform operations including inputting the context data into the machine-learned model(s). The operations can include receiving, as an output of the machine-learned model(s), the output data that describes the name(s) for the entity or entities described by the context data. The operations can include storing at least one name described by the output data.

公开(公告)号：US12236195B2

公开(公告)日：2025-02-25

申请号：US18166525

申请日：2023-02-09

Applicant: Google LLC

Inventor： Victor Carbune ,  Alexandru-Marian Damian

IPC: G06F40/295 ,  G06F18/2132 ,  G06F18/23 ,  G06F18/24 ,  G06F40/56 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N3/088 ,  G06N20/00 ,  G06V10/764 ,  G06V10/82 ,  G06V20/30

Abstract: A computing system can include one or more machine-learned models configured to receive context data that describes one or more entities to be named. In response to receipt of the context data, the machine-learned model(s) can generate output data that describes one or more names for the entity or entities described by the context data. The computing system can be configured to perform operations including inputting the context data into the machine-learned model(s). The operations can include receiving, as an output of the machine-learned model(s), the output data that describes the name(s) for the entity or entities described by the context data. The operations can include storing at least one name described by the output data.

公开(公告)号：US11580310B2

公开(公告)日：2023-02-14

申请号：US16552253

申请日：2019-08-27

Applicant: Google LLC

Inventor： Victor Carbune ,  Alexandru-Marian Damian

IPC: G06F40/56 ,  G06K9/62 ,  G06N20/00 ,  G06N3/08 ,  G06F40/295 ,  G06V10/82 ,  G06V20/30 ,  G06N3/088 ,  G06N3/04

Abstract: A computing system can include one or more machine-learned models configured to receive context data that describes one or more entities to be named. In response to receipt of the context data, the machine-learned model(s) can generate output data that describes one or more names for the entity or entities described by the context data. The computing system can be configured to perform operations including inputting the context data into the machine-learned model(s). The operations can include receiving, as an output of the machine-learned model(s), the output data that describes the name(s) for the entity or entities described by the context data. The operations can include storing at least one name described by the output data.

公开(公告)号：US20220339542A1

公开(公告)日：2022-10-27

申请号：US17766146

申请日：2019-10-04

Applicant: GOOGLE LLC

Inventor： Alexandru-Marian Damian ,  Victor Carbune

IPC: A63F13/537 ,  G06V20/40 ,  G06T11/00

Abstract: The disclosed subject matter can receive a source video and identifies one or more player actions based on the source video. A second video can be received that is based on a currently executing game environment. A portion of the source video that exhibits a first gameplay situation that is similar to a gameplay situation in the second video can be determined. A property of the determined portion of the source video can be adjusted to produce a guide video. The guide video can be overlaid on the currently executing game environment.