US 11,915,343 B2
Color representations for textual phrases
Paridhi Maheshwari, Bhopal (IN); Vishwa Vinay, Bangalore (IN); Dhananjay Raut, Maharashtra (IN); Nihal Jain, Mumbai (IN); Praneetha Vaddamanu, Hyderabad (IN); and Shraiysh Vaishay, Jhansi (IN)
Assigned to ADOBE INC., San Jose, CA (US)
Filed by ADOBE INC., San Jose, CA (US)
Filed on Dec. 4, 2020, as Appl. No. 17/111,819.
Prior Publication US 2022/0180572 A1, Jun. 9, 2022
Int. Cl. G06T 11/00 (2006.01); G06F 40/253 (2020.01); G06F 40/30 (2020.01); G06V 10/56 (2022.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06N 3/044 (2023.01)
CPC G06T 11/001 (2013.01) [G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 40/253 (2020.01); G06F 40/30 (2020.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G06V 10/56 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for color representation, comprising:
receiving an attribute-object pair including a first term comprising an attribute label and a second term comprising an object label;
encoding the attribute-object pair to produce encoded features using a neural network by generating attribute features and object features separately and combining the attribute features and the object features based on a predetermined ordering; and
generating a color profile for the attribute-object pair based on the encoded features, wherein the color profile is based on a compositional relationship between the first term and the second term.