US 11,989,922 B2
Automated image analysis and indexing
Miquel Angel Farre Guiu, Bern (CH); Monica Alfaro Vendrell, Barcelona (ES); Pablo Pernias, Sant Joan d'Alacant (ES); Francesc Josep Guitart Bravo, Lleida (ES); Marc Junyent Martin, Barcelona (ES); Albert Aparicio Isarn, Barcelona (ES); Anthony M. Accardo, Los Angeles, CA (US); and Steven S. Shapiro, Pasacena, CA (US)
Assigned to Disney Enterprises, Inc., Burbank, CA (US)
Filed by Disney Enterprises, Inc., Burbank, CA (US)
Filed on Feb. 18, 2022, as Appl. No. 17/675,978.
Prior Publication US 2023/0267700 A1, Aug. 24, 2023
Int. Cl. G06V 10/25 (2022.01); G06N 20/20 (2019.01); G06V 10/46 (2022.01); G06V 20/70 (2022.01)
CPC G06V 10/25 (2022.01) [G06N 20/20 (2019.01); G06V 10/462 (2022.01); G06V 20/70 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a computing platform having a processing hardware and a system memory storing a software code;
the processing hardware configured to execute the software code to:
receive an image having a plurality of panels, each of the plurality of panels depicting a plurality of features;
determine a respective boundary of each of the plurality of panels to identify a plurality of bounded image regions;
identify, within each of the plurality of bounded image regions, respective one or more image sub-regions to identify a plurality of image sub-regions;
identify, within each of the plurality of bounded image regions, one or more first features of the plurality of features, respectively;
identify, within each of the plurality of image sub-regions, one or more second features of the plurality of features, respectively; and
provide an annotated image by annotating each of the plurality of bounded image regions using the respective first features and annotating each of the plurality of image sub-regions using the respective second features.