Invention Grant
- Patent Title: Generating modified digital images utilizing a multimodal selection model based on verbal and gesture input
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Application No.: US16192573Application Date: 2018-11-15
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Publication No.: US10817713B2Publication Date: 2020-10-27
- Inventor: Trung Bui , Zhe Lin , Walter Chang , Nham Le , Franck Dernoncourt
- 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 Jolley Preece
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/04 ; G10L15/26 ; G10L15/25

Abstract:
The present disclosure relates to systems, methods, and non-transitory computer readable media for generating modified digital images based on verbal and/or gesture input by utilizing a natural language processing neural network and one or more computer vision neural networks. The disclosed systems can receive verbal input together with gesture input. The disclosed systems can further utilize a natural language processing neural network to generate a verbal command based on verbal input. The disclosed systems can select a particular computer vision neural network based on the verbal input and/or the gesture input. The disclosed systems can apply the selected computer vision neural network to identify pixels within a digital image that correspond to an object indicated by the verbal input and/or gesture input. Utilizing the identified pixels, the disclosed systems can generate a modified digital image by performing one or more editing actions indicated by the verbal input and/or gesture input.
Public/Granted literature
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