公开(公告)号：US20250157173A1

公开(公告)日：2025-05-15

申请号：US19005736

申请日：2024-12-30

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez-Cabello ,  Javier Martínez Cebrián

IPC: G06V10/25 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06F18/25 ,  G06N3/08 ,  G06T3/40 ,  G06V10/74 ,  G06V10/764 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

公开(公告)号：US20250156711A1

公开(公告)日：2025-05-15

申请号：US19006011

申请日：2024-12-30

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  Javier Tovar Velasco ,  Francisco Delgado Del Hoyo ,  Diego González Serrador ,  Emilio Almazán ,  Antonio Hurtado

IPC: G06N3/08 ,  G06V10/25 ,  G06V10/82 ,  G06V20/62 ,  G06V30/413 ,  G06V30/414 ,  G06V30/416

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze characteristics of text of interest using a computing system. An example apparatus includes a text detector to provide text data from a first image, the first image including a first text region of interest and a second text region not of interest, a color-coding generator to generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics, and a convolutional neural network (CNN) to determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.

公开(公告)号：US20230215141A1

公开(公告)日：2023-07-06

申请号：US18148131

申请日：2022-12-29

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez-Cabello ,  Javier Martínez Cebrián

IPC: G06V10/764 ,  G06V10/25 ,  G06V10/74 ,  G06V10/771 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/764 ,  G06V10/25 ,  G06V10/761 ,  G06V10/771 ,  G06V10/82 ,  G06V20/70

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

公开(公告)号：US20240233309A9

公开(公告)日：2024-07-11

申请号：US18492532

申请日：2023-10-23

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez-Cabello ,  Javier Martínez Cebrián

IPC: G06V10/25 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06F18/25 ,  G06N3/08 ,  G06T3/40 ,  G06V10/74 ,  G06V10/764 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/25 ,  G06F18/2163 ,  G06F18/22 ,  G06F18/24 ,  G06F18/251 ,  G06N3/08 ,  G06T3/40 ,  G06V10/761 ,  G06V10/764 ,  G06V10/771 ,  G06V10/809 ,  G06V10/82 ,  G06V20/70 ,  G06V2201/10

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

公开(公告)号：US20240135669A1

公开(公告)日：2024-04-25

申请号：US18492532

申请日：2023-10-22

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez-Cabello ,  Javier Martínez Cebrián

IPC: G06V10/25 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06F18/25 ,  G06N3/08 ,  G06T3/40 ,  G06V10/74 ,  G06V10/764 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

CPC classification number: G06V10/25 ,  G06F18/2163 ,  G06F18/22 ,  G06F18/24 ,  G06F18/251 ,  G06N3/08 ,  G06T3/40 ,  G06V10/761 ,  G06V10/764 ,  G06V10/771 ,  G06V10/809 ,  G06V10/82 ,  G06V20/70 ,  G06V2201/10

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

公开(公告)号：US20230245486A1

公开(公告)日：2023-08-03

申请号：US17941547

申请日：2022-09-09

Applicant: Nielsen Consumer LLC

Inventor： Jose Javier Yebes Torres ,  Sricharan Amarnath ,  Roberto Arroyo

IPC: G06V30/413 ,  G06V30/42 ,  G06F9/30

CPC classification number: G06V30/413 ,  G06F9/30003 ,  G06V30/42

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve tagging accuracy. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to execute the machine readable instructions to at least search a first row of a document to identify a first row that includes a first type of entity, search the first row of the document to identify a second type of entity that is missing, search the first row of the document to identify a first integer value, and associate the first row with a product corresponding to the first integer value.

公开(公告)号：US12229805B2

公开(公告)日：2025-02-18

申请号：US17566135

申请日：2021-12-30

Applicant: Nielsen Consumer LLC

Inventor： Javier Martínez Cebrián ,  Roberto Arroyo ,  David Jiménez

IPC: G06Q30/00 ,  G06Q30/0241 ,  G06T7/33 ,  G06V10/70 ,  G06V30/10

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for processing an image using visual and textual information. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to detect regions of interest corresponding to a product promotion of an input digital leaflet, extract textual features from the product promotion by applying an optical character recognition (OCR) algorithm to the product promotion and associating output text data with corresponding ones of the regions of interest, determine a search attribute corresponding to the product promotion, generate a first dataset of candidate products corresponding to the product in the product promotion by comparing the search attribute against a second dataset of products, and select a product from the first dataset of candidate products to associate with the product promotion, the product selected based on a match determination.

公开(公告)号：US12183049B2

公开(公告)日：2024-12-31

申请号：US18492532

申请日：2023-10-23

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez-Cabello ,  Javier Martínez Cebrián

IPC: G06V10/25 ,  G06F18/21 ,  G06F18/22 ,  G06F18/24 ,  G06F18/25 ,  G06N3/08 ,  G06T3/40 ,  G06V10/74 ,  G06V10/764 ,  G06V10/771 ,  G06V10/80 ,  G06V10/82 ,  G06V20/70

Abstract: Example methods, apparatus, and articles of manufacture to classify labels based on images using artificial intelligence are disclosed. An example apparatus includes a regional proposal network to determine a first bounding box for a first region of interest in a first input image of a product; and determine a second bounding box for a second region of interest in a second input image of the product; a neural network to: generate a first classification for a first label in the first input image using the first bounding box; and generate a second classification for a second label in the second input image using the second bounding box; a comparator to determine that the first input image and the second input image correspond to a same product; and a report generator to link the first classification and the second classification to the product.

公开(公告)号：US20240144074A1

公开(公告)日：2024-05-02

申请号：US17976058

申请日：2022-10-28

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  Javier Lorenzo Díaz ,  Héctor Corrales Sánchez ,  Elena Martínez ,  Jose Javier Yebes Torres

IPC: G06N20/00 ,  G06F11/34

CPC classification number: G06N20/00 ,  G06F11/3495

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for managing training for models. An example apparatus includes a processor circuitry to at least obtain a request to train or retrain a model, respond to the request by preventing the train or retraining, calculate at least one performance metric, and compare performance metric corresponding to current model execution to at least one threshold performance metric.

公开(公告)号：US11715292B2

公开(公告)日：2023-08-01

申请号：US17340958

申请日：2021-06-07

Applicant: Nielsen Consumer LLC

Inventor： Emilio Almazán ,  Javier Tovar Velasco ,  Roberto Arroyo ,  Diego González Serrador

IPC: G06V20/00 ,  G06T7/73 ,  G06T7/77 ,  G06V10/764 ,  G06V10/82 ,  G06V10/44

CPC classification number: G06V20/00 ,  G06T7/73 ,  G06T7/77 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/20084

Abstract: An example apparatus includes a feature extractor to generate a first image descriptor based on a first image of a first retail product tag corresponding to a first category, the first image descriptor representative of one or more visual features of the first retail product tag; a feature descriptor generator to generate a feature descriptor corresponding to the first retail product tag by concatenating the first image descriptor and a first category signature corresponding to the first retailer category; and a classifier to generate a first probability value corresponding to a first type of promotional product tag and a second probability value corresponding to a second type of promotional product tag based on the feature descriptor; and determine whether the first retail product tag corresponds to the first type of promotional product tag or the second type of promotional product tag based on the first and second probability values.