Invention Grant
- Patent Title: Automatically selecting query objects in digital images
-
Application No.: US17331161Application Date: 2021-05-26
-
Publication No.: US11681919B2Publication Date: 2023-06-20
- Inventor: Khoi Pham , Scott Cohen , Zhe Lin , Zhihong Ding , Walter Wei Tuh Chang
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Preece PLLC
- Main IPC: G06V10/00
- IPC: G06V10/00 ; G06N3/08 ; G06F18/2113 ; G06F18/214 ; G06F18/21 ; G06V10/764 ; G06V10/771 ; G06V10/774 ; 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.
Public/Granted literature
- US20210319255A1 AUTOMATICALLY SELECTING QUERY OBJECTS IN DIGITAL IMAGES Public/Granted day:2021-10-14
Information query