公开(公告)号：US12087071B2

公开(公告)日：2024-09-10

申请号：US18328445

申请日：2023-06-02

Applicant: Google LLC

Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

IPC: G06V30/413 ,  G06F3/04842 ,  G06F18/20 ,  G06F18/24 ,  G06V10/98 ,  G06V20/20 ,  G06V30/19 ,  H04N5/445 ,  H04N5/765 ,  H04N23/62 ,  H04N23/68

CPC classification number: G06V30/413 ,  G06F18/24 ,  G06F18/285 ,  G06V10/993 ,  G06V20/20 ,  G06V30/19113 ,  H04N5/44504 ,  H04N5/765 ,  H04N23/62 ,  H04N23/6812 ,  G06F3/04842 ,  G06V2201/10

Abstract: Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

公开(公告)号：US20230316793A1

公开(公告)日：2023-10-05

申请号：US18328445

申请日：2023-06-02

Applicant: Google LLC

Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

IPC: G06V30/413 ,  G06V20/20 ,  G06V10/98 ,  G06F18/24 ,  G06F18/20 ,  H04N23/62 ,  H04N23/68 ,  G06V30/19 ,  H04N5/445 ,  H04N5/765

CPC classification number: G06V30/413 ,  G06V20/20 ,  G06V10/993 ,  G06F18/24 ,  G06F18/285 ,  H04N23/62 ,  H04N23/6812 ,  G06V30/19113 ,  H04N5/44504 ,  H04N5/765 ,  G06V2201/10 ,  G06F3/04842

Abstract: Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

公开(公告)号：US11704923B2

公开(公告)日：2023-07-18

申请号：US16832182

申请日：2020-03-27

Applicant: Google LLC

Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

IPC: G06V30/413 ,  G06V20/20 ,  G06V10/98 ,  H04N5/445 ,  H04N5/765 ,  G06F18/24 ,  G06F18/20 ,  H04N23/62 ,  H04N23/68 ,  G06V30/19 ,  G06F3/04842

CPC classification number: G06V30/413 ,  G06F18/24 ,  G06F18/285 ,  G06V10/993 ,  G06V20/20 ,  G06V30/19113 ,  H04N5/44504 ,  H04N5/765 ,  H04N23/62 ,  H04N23/6812 ,  G06F3/04842 ,  G06V2201/10

Abstract: Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

公开(公告)号：US20180373934A1

公开(公告)日：2018-12-27

申请号：US15754909

申请日：2018-02-09

Applicant: Google LLC

Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/20 ,  G06K9/03 ,  H04N5/232 ,  H04N5/445 ,  H04N5/765

Abstract: Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

公开(公告)号：US20230091374A1

公开(公告)日：2023-03-23

申请号：US17802060

申请日：2020-02-24

Applicant: Google LLC

Inventor： Qifei Wang ,  Alexander Kuznetsov ,  Alec Michael Go ,  Grace Chu ,  Eunyoung Kim ,  Feng Yang ,  Andrew Gerald Howard ,  Jeffrey M. Gilbert

IPC: G06V30/413 ,  G06V10/22

Abstract: The present disclosure is directed to object and/or character recognition for use in applications such as computer vision. Advantages of the present disclosure include lightweight functionality that can be used on devices such as smart phones. Aspects of the present disclosure include a sequential architecture where a lightweight machine-learned model can receive an image, detect whether an object is present in one or more regions of the image, and generate an output based on the detection. This output can be applied as a filter to remove image data that can be neglected for more memory intensive machine-learned models applied downstream.

公开(公告)号：US20240371189A1

公开(公告)日：2024-11-07

申请号：US18775932

申请日：2024-07-17

Applicant: Google LLC

Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

IPC: G06V30/413 ,  G06F3/04842 ,  G06F18/20 ,  G06F18/24 ,  G06V10/98 ,  G06V20/20 ,  G06V30/19 ,  H04N5/445 ,  H04N5/765 ,  H04N23/62 ,  H04N23/68

Abstract: A computing system includes one or more memory devices to store instructions; and one or more processors to execute the instructions to perform operations. The operations include: receiving a plurality of images captured by a camera; selecting a portion of the plurality of images having a quality rating above a threshold level; processing, by a coarse classifier, a first image among the portion of the plurality of images to determine whether the first image depicts at least one object from one or more particular classes of objects; in response to determining the first image depicts the at least one object from the one or more particular classes of objects, performing an object recognition process to recognize the at least one object; and presenting content related to the at least one object recognized via the object recognition process.

公开(公告)号：US20230267307A1

公开(公告)日：2023-08-24

申请号：US18014314

申请日：2020-07-23

Applicant: Google LLC

Inventor： Qifei Wang ,  Junjie Ke ,  Grace Chu ,  Gabriel Mintzer Bender ,  Luciano Sbaiz ,  Feng Yang ,  Andrew Gerald Howard ,  Alec Michael Go ,  Jeffrey M. Gilbert ,  Peyman Milanfar ,  Joshua William Charles Greaves

IPC: G06N3/045 ,  G06N3/092 ,  G06N3/084

CPC classification number: G06N3/045 ,  G06N3/084 ,  G06N3/092

Abstract: Systems and methods of the present disclosure are directed to a method for generating a machine-learned multitask model configured to perform tasks. The method can include obtaining a machine-learned multitask search model comprising candidate nodes. The method can include obtaining tasks and machine-learned task controller models associated with the tasks. As an example, for a task, the method can include using the task controller model to route a subset of the candidate nodes in a machine-learned task submodel for the corresponding task. The method can include inputting task input data to the task submodel to obtain a task output. The method can include generating, using the task output, a feedback value based on an objective function. The method can include adjusting parameters of the task controller model based on the feedback value.

公开(公告)号：US20200226382A1

公开(公告)日：2020-07-16

申请号：US16832182

申请日：2020-03-27

Applicant: Google LLC

Inventor： Matthew J. Bridges ,  Alessandro Fin ,  Hartwig Adam ,  Jeffrey M. Gilbert

IPC: G06K9/00 ,  G06K9/03 ,  G06K9/62 ,  G06K9/20 ,  H04N5/232 ,  H04N5/445 ,  H04N5/765

Abstract: Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.