US 11,989,650 B2
Saliency prioritization for image processing
Erika Varis Doggett, Los Angeles, CA (US); David T. Nguyen, Newark, CA (US); Binghao Tang, Nanshan (CN); Hailing Zhou, Nanshan (CN); Anna M. Wolak, Seattle, WA (US); and Erick Keyu Qi, Dongguan (CN)
Assigned to Disney Enterprises, Inc., Burbank, CA (US)
Filed by Disney Enterprises, Inc., Burbank, CA (US)
Filed on Dec. 21, 2020, as Appl. No. 17/129,204.
Prior Publication US 2022/0198258 A1, Jun. 23, 2022
Int. Cl. G06N 3/08 (2023.01); G06F 3/01 (2006.01); G06N 3/045 (2023.01)
CPC G06N 3/08 (2013.01) [G06F 3/013 (2013.01); G06N 3/045 (2023.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a hardware processor; and
a system memory storing a soft are code including a trained neural network (NN);
the hardware processor configured to execute the software code to:
receive an input image including a pixel anomaly;
identify, using the trained NN, one or more salient regions of the input image;
determine whether the pixel anomaly is located inside any of the one or more salient regions of the input image;
assign a first priority to the pixel anomaly when determined that the pixel anomaly is located inside any of the one or more salient regions of the input image; and
assign a second priority, lower than the first priority, to the pixel anomaly when determined that the pixel anomaly is not located inside any of the one or more salient regions of the input image.