公开(公告)号：US20220414142A1

公开(公告)日：2022-12-29

申请号：US17929206

申请日：2022-09-01

Applicant: Adobe Inc.

Inventor： Walter Wei Tuh Chang ,  Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding

IPC: G06F16/532 ,  G06T11/60 ,  G06K9/62 ,  G06F40/279 ,  G06F40/247 ,  G06N20/00 ,  G06F16/583 ,  G06F16/242 ,  G06F16/28 ,  G06F16/538 ,  G06F40/30 ,  G06F16/33

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image based on natural language-based inputs. For instance, the object selection system can utilize natural language processing tools to detect objects and their corresponding relationships within natural language object selection queries. For example, the object selection system can determine alternative object terms for unrecognized objects in a natural language object selection query. As another example, the object selection system can determine multiple types of relationships between objects in a natural language object selection query and utilize different object relationship models to select the requested query object.

公开(公告)号：US20210263962A1

公开(公告)日：2021-08-26

申请号：US16800415

申请日：2020-02-25

Applicant: Adobe Inc.

Inventor： Walter Wei Tuh Chang ,  Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding

IPC: G06F16/532 ,  G06T11/60 ,  G06K9/62 ,  G06F40/279 ,  G06F40/247 ,  G06F40/30 ,  G06F16/583 ,  G06F16/242 ,  G06F16/28 ,  G06F16/538 ,  G06N20/00

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image based on natural language-based inputs. For instance, the object selection system can utilize natural language processing tools to detect objects and their corresponding relationships within natural language object selection queries. For example, the object selection system can determine alternative object terms for unrecognized objects in a natural language object selection query. As another example, the object selection system can determine multiple types of relationships between objects in a natural language object selection query and utilize different object relationship models to select the requested query object.

公开(公告)号：US11681919B2

公开(公告)日：2023-06-20

申请号：US17331161

申请日：2021-05-26

Applicant: Adobe Inc.

Inventor： Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding ,  Walter Wei Tuh Chang

IPC: G06V10/00 ,  G06N3/08 ,  G06F18/2113 ,  G06F18/214 ,  G06F18/21 ,  G06V10/764 ,  G06V10/771 ,  G06V10/774 ,  G06V10/82

CPC classification number: G06N3/08 ,  G06F18/2113 ,  G06F18/2155 ,  G06F18/2163 ,  G06V10/764 ,  G06V10/765 ,  G06V10/771 ,  G06V10/7753 ,  G06V10/82

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image utilizing a large-scale object detector. For instance, in response to receiving a request to automatically select a query object with an unknown object class in a digital image, the object selection system can utilize a large-scale object detector to detect potential objects in the image, filter out one or more potential objects, and label the remaining potential objects in the image to detect the query object. In some implementations, the large-scale object detector utilizes a region proposal model, a concept mask model, and an auto tagging model to automatically detect objects in the digital image.

公开(公告)号：US11468110B2

公开(公告)日：2022-10-11

申请号：US16800415

申请日：2020-02-25

Applicant: Adobe Inc.

Inventor： Walter Wei Tuh Chang ,  Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding

IPC: G06F16/532 ,  G06F16/583 ,  G06F16/538 ,  G06F16/33 ,  G06T11/60 ,  G06K9/62 ,  G06F40/279 ,  G06F40/247 ,  G06N20/00 ,  G06F16/242 ,  G06F16/28 ,  G06F40/30

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image based on natural language-based inputs. For instance, the object selection system can utilize natural language processing tools to detect objects and their corresponding relationships within natural language object selection queries. For example, the object selection system can determine alternative object terms for unrecognized objects in a natural language object selection query. As another example, the object selection system can determine multiple types of relationships between objects in a natural language object selection query and utilize different object relationship models to select the requested query object.

公开(公告)号：US11886494B2

公开(公告)日：2024-01-30

申请号：US17929206

申请日：2022-09-01

Applicant: Adobe Inc.

Inventor： Walter Wei Tuh Chang ,  Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding

IPC: G06F16/583 ,  G06F16/532 ,  G06F16/33 ,  G06T11/60 ,  G06F40/279 ,  G06F40/247 ,  G06N20/00 ,  G06F16/242 ,  G06F16/28 ,  G06F16/538 ,  G06F40/30 ,  G06F18/2431 ,  G06V10/82

CPC classification number: G06F16/5854 ,  G06F16/243 ,  G06F16/288 ,  G06F16/3344 ,  G06F16/532 ,  G06F16/538 ,  G06F18/2431 ,  G06F40/247 ,  G06F40/279 ,  G06F40/30 ,  G06N20/00 ,  G06T11/60 ,  G06V10/82

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image based on natural language-based inputs. For instance, the object selection system can utilize natural language processing tools to detect objects and their corresponding relationships within natural language object selection queries. For example, the object selection system can determine alternative object terms for unrecognized objects in a natural language object selection query. As another example, the object selection system can determine multiple types of relationships between objects in a natural language object selection query and utilize different object relationship models to select the requested query object.

公开(公告)号：US20210319255A1

公开(公告)日：2021-10-14

申请号：US17331161

申请日：2021-05-26

Applicant: Adobe Inc.

Inventor： Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding ,  Walter Wei Tuh Chang

IPC: G06K9/62

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image utilizing a large-scale object detector. For instance, in response to receiving a request to automatically select a query object with an unknown object class in a digital image, the object selection system can utilize a large-scale object detector to detect potential objects in the image, filter out one or more potential objects, and label the remaining potential objects in the image to detect the query object. In some implementations, the large-scale object detector utilizes a region proposal model, a concept mask model, and an auto tagging model to automatically detect objects in the digital image.

公开(公告)号：US11055566B1

公开(公告)日：2021-07-06

申请号：US16817418

申请日：2020-03-12

Applicant: Adobe Inc.

Inventor： Khoi Pham ,  Scott Cohen ,  Zhe Lin ,  Zhihong Ding ,  Walter Wei Tuh Chang

IPC: G06K9/00 ,  G06K9/62

Abstract: The present disclosure relates to an object selection system that automatically detects and selects objects in a digital image utilizing a large-scale object detector. For instance, in response to receiving a request to automatically select a query object with an unknown object class in a digital image, the object selection system can utilize a large-scale object detector to detect potential objects in the image, filter out one or more potential objects, and label the remaining potential objects in the image to detect the query object. In some implementations, the large-scale object detector utilizes a region proposal model, a concept mask model, and an auto tagging model to automatically detect objects in the digital image.