US 11,715,292 B2
Methods and apparatus to perform image analyses in a computing environment
Emilio Almazán, Alcorcón (ES); Javier Tovar Velasco, Cigales (ES); Roberto Arroyo, Guadalajara (ES); and Diego González Serrador, Valladolid (ES)
Assigned to Nielsen Consumer LLC, Chicago, IL (US)
Filed by Nielsen Consumer LLC, New York, NY (US)
Filed on Jun. 7, 2021, as Appl. No. 17/340,958.
Application 17/340,958 is a continuation of application No. 16/230,920, filed on Dec. 21, 2018, granted, now 11,030,769.
Application 16/230,920 is a continuation in part of application No. PCT/IB2018/001433, filed on Nov. 13, 2018.
Prior Publication US 2021/0366149 A1, Nov. 25, 2021
Int. Cl. G06V 20/00 (2022.01); G06T 7/73 (2017.01); G06T 7/77 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01)
CPC G06V 20/00 (2022.01) [G06T 7/73 (2017.01); G06T 7/77 (2017.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/20084 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus to classify a first retail product tag image, the apparatus comprising:
memory;
instructions; and
at least one processor to execute the instructions to:
determine, based on operations, a first visual feature of the first retail product tag image, the first retail product tag image corresponding to a first retailer category;
generate a feature descriptor corresponding to the first retail product tag image based on (a) a first image descriptor, the first image descriptor indicative of the first visual feature, and (b) a category signature, the category signature indicative of the first retail category, the category signature based on samples of a probability distribution function (PDF) of second image descriptors corresponding to the first retailer category;
generate a first probability value associated with a first type of promotional product tag and a second probability value associated with a second type of promotional product tag, the second type of promotional product tag different than the first type of promotional product tag; and
determine a respective one of the first type of promotional product tag or the second type of promotional product tag of the first retail product tag image based on the first probability value and second probability value to differentiate the first retail product tag image corresponding to the first retailer category from a second retail product tag image corresponding to a second retailer category.