US 11,710,312 B2
Systems and methods for dynamic image category determination
Jayant Kumar, San Jose, CA (US); Vera Lychagina, San Jose, CA (US); Tarun Vashisth, New Delhi (IN); Sudhakar Pandey, Sunnyvale, CA (US); Sharad Mangalick, San Francisco, CA (US); Rohith Mohan Dodle, Fremont, CA (US); Peter Baust, Sunnyvale, CA (US); Mina Doroudi, San Jose, CA (US); Kerem Turgutlu, San Jose, CA (US); Kannan Iyer, San Jose, CA (US); Gaurav Kukal, Fremont, CA (US); Archit Kalra, Fremont, CA (US); and Amine Ben Khalifa, San Jose, CA (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Jul. 14, 2022, as Appl. No. 17/865,076.
Application 17/865,076 is a continuation of application No. 16/995,869, filed on Aug. 18, 2020, granted, now 11,468,674.
Prior Publication US 2022/0351513 A1, Nov. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/00 (2022.01); G06F 16/53 (2019.01); G06N 3/08 (2023.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01)
CPC G06V 20/35 (2022.01) [G06F 16/53 (2019.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
training a neural network to receive an input image and determine one or more image categories associated with the input image;
obtaining a set of images associated with a user;
determining, using the trained neural network, one or more image categories associated with each image included in the obtained set of images;
determining one or more dominant image categories associated with the user based on the determined image categories for the obtained set of images; and
determining an image editing user interface for the user based on the determined one or more dominant image categories.