Invention Grant
- Patent Title: Utilizing interactive deep learning to select objects in digital visual media
-
Application No.: US16376704Application Date: 2019-04-05
-
Publication No.: US11568627B2Publication Date: 2023-01-31
- Inventor: Brian Price , Scott Cohen , Mai Long , Jun Hao Liew
- 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: G06V10/20
- IPC: G06V10/20 ; G06N3/08 ; G06K9/62 ; G06N3/04 ; G06T7/11 ; G06N5/00 ; G06V10/26 ; G06V10/44 ; G06V10/24

Abstract:
Systems and methods are disclosed for selecting target objects within digital images utilizing a multi-modal object selection neural network trained to accommodate multiple input modalities. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators corresponding to various input modalities. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user inputs corresponding to different input modalities to select target objects in digital images. Specifically, the disclosed systems and methods can transform user inputs into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.
Public/Granted literature
- US20190236394A1 UTILIZING INTERACTIVE DEEP LEARNING TO SELECT OBJECTS IN DIGITAL VISUAL MEDIA Public/Granted day:2019-08-01
Information query