US 11,928,877 B2
Systems and methods for automatic context-based annotation
Goutam Venkatesh, Irving, TX (US); Sudhir Sundararam, Irving, TX (US); and Zach Rusk, Flower Mound, TX (US)
Assigned to Nationstar Mortgage LLC, Coppell, TX (US)
Filed by Nationstar Mortgage LLC, Coppell, TX (US)
Filed on Aug. 11, 2020, as Appl. No. 16/990,900.
Prior Publication US 2022/0051009 A1, Feb. 17, 2022
Int. Cl. G06V 30/412 (2022.01); G06V 10/30 (2022.01); G06V 10/44 (2022.01); G06V 30/10 (2022.01)
CPC G06V 30/412 (2022.01) [G06V 10/30 (2022.01); G06V 10/44 (2022.01); G06V 30/10 (2022.01); G06V 2201/10 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for automatic context-based document annotation, comprising:
receiving, by a computing system, a candidate image of a document for annotation identification;
detecting, by the computing system, a set of structural features of the candidate image;
for each of a plurality of template images, calculating, by the computing system, a similarity score between structural features of the template image and the detected set of structural features by determining a correlation coefficient between the structural features of each template image and the detected set of structural features, the correlation coefficient comprising a weighted combination of luminance, contrast, and structure comparisons for each of a plurality of portions of the template image and the detected set of structural features of the candidate image;
selecting, by the computing system, a template image having a highest similarity score; and
adding, by the computing system to the candidate image, one or more annotation labels according to a corresponding one or more annotation labels of the selected template image.