公开(公告)号：US20250111675A1

公开(公告)日：2025-04-03

申请号：US18900467

申请日：2024-09-27

Applicant: Google LLC

Inventor： Hui Miao ,  Chun-Te Chu ,  Mingyan Gao ,  Huanfen Yao ,  Ting Liu ,  Long Zhao ,  Liangzhe Yuan ,  Yukun Zhu ,  Vinay Kumar Bettadapura ,  Ye Jin

IPC: G06V20/40 ,  G06V10/74 ,  G06V10/75 ,  G06V10/762 ,  G06V10/80

Abstract: Methods and systems for media trend detection and maintenance are provided herein. A set of media items each having common media characteristics is identified. A set of pose values is determined for each respective media item of the set of media items. Each pose value is associated with a particular predefined pose for objects depicted by the set of media items. A set of distance scores is calculated. Each distance score represents a distance between the respective set of pose values determined for a media item and a respective set of pose values determined for an additional media item. A coherence score is determined for the set of media items based on the calculated set of distance scores. Responsive to a determination that the coherence score satisfies one or more coherence criteria, a determination is made that the set of media items corresponds to a media trend of a platform.

公开(公告)号：US11669742B2

公开(公告)日：2023-06-06

申请号：US16950275

申请日：2020-11-17

Applicant: Google LLC

Inventor： Chun-Te Chu ,  Claire Jaja ,  Kara Vaillancourt ,  Oleg Veryovka

IPC: G06N20/20 ,  G06N3/082 ,  G06F18/214 ,  G06F18/21 ,  G06F18/20 ,  G06N3/045

CPC classification number: G06N3/082 ,  G06F18/214 ,  G06F18/217 ,  G06F18/285 ,  G06N3/045 ,  G06N20/20

Abstract: Methods, systems, and computer-readable media for multi-model processing on resource-constrained devices. A resource-constrained device can determine, based on a battery-life for a battery of the device, whether to process input through a first model or a second model. The first model can be a gating model that is more energy efficient to execute, and the second model can be a main model that is more accurate than the gating model. Depending on the current battery-life and/or other criteria, the system can process, through the gating model, sensor input that can record activity performed by a user of the resource-constrained device. If the gating model predicts an activity performed by the user that is recorded by the sensor data, the device can process the same or additional input through the main model. Overall power consumption can be reduced with a minimum accuracy maintained over processing input only through the main model.

公开(公告)号：US20220156589A1

公开(公告)日：2022-05-19

申请号：US16950275

申请日：2020-11-17

Applicant: Google LLC

Inventor： Chun-Te Chu ,  Claire Jaja ,  Kara Vaillancourt ,  Oleg Veryovka

IPC: G06N3/08 ,  G06N3/04 ,  G06N20/20 ,  G06K9/62

Abstract: Methods, systems, and computer-readable media for multi-model processing on resource-constrained devices. A resource-constrained device can determine, based on a battery-life for a battery of the device, whether to process input through a first model or a second model. The first model can be a gating model that is more energy efficient to execute, and the second model can be a main model that is more accurate than the gating model. Depending on the current battery-life and/or other criteria, the system can process, through the gating model, sensor input that can record activity performed by a user of the resource-constrained device. If the gating model predicts an activity performed by the user that is recorded by the sensor data, the device can process the same or additional input through the main model. Overall power consumption can be reduced with a minimum accuracy maintained over processing input only through the main model.

公开(公告)号：US20230222628A1

公开(公告)日：2023-07-13

申请号：US17572923

申请日：2022-01-11

Applicant: Google LLC

Inventor： Yang Zhao ,  Yu-Chuan Su ,  Chun-Te Chu ,  Yandong Li ,  Marius Renn ,  Yukun Zhu ,  Xuhui Jia ,  Bradley Ray Green

IPC: G06T5/00 ,  G06V40/16

CPC classification number: G06T5/001 ,  G06V40/168 ,  G06T2207/30201 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for training a restoration model can leverage training for two sub-tasks to train the restoration model to generate realistic and identity-preserved outputs. The systems and methods can balance the training of the generation task and the reconstruction task to ensure the generated outputs preserve the identity of the original subject while generating realistic outputs. The systems and methods can further leverage a feature quantization model and skip connections to improve the model output and overall training.

公开(公告)号：US20230274147A1

公开(公告)日：2023-08-31

申请号：US18313072

申请日：2023-05-05

Applicant: Google LLC

Inventor： Chun-Te Chu ,  Claire Jaja ,  Kara Vaillancourt ,  Oleg Veryovka

IPC: G06N3/082 ,  G06N20/20 ,  G06F18/214 ,  G06F18/21 ,  G06F18/20 ,  G06N3/045

CPC classification number: G06N3/082 ,  G06N20/20 ,  G06F18/214 ,  G06F18/217 ,  G06F18/285 ,  G06N3/045

Abstract: Methods, systems, and computer-readable media for multi-model processing on resource-constrained devices. A resource-constrained device can determine, based on a battery-life for a battery of the device, whether to process input through a first model or a second model. The first model can be a gating model that is more energy efficient to execute, and the second model can be a main model that is more accurate than the gating model. Depending on the current battery-life and/or other criteria, the system can process, through the gating model, sensor input that can record activity performed by a user of the resource-constrained device. If the gating model predicts an activity performed by the user that is recorded by the sensor data, the device can process the same or additional input through the main model. Overall power consumption can be reduced with a minimum accuracy maintained over processing input only through the main model.