公开(公告)号：US20210366149A1

公开(公告)日：2021-11-25

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: G06T7/73 ,  G06T7/77

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.

公开(公告)号：US20250148507A1

公开(公告)日：2025-05-08

申请号：US19012570

申请日：2025-01-07

Applicant: Nielsen Consumer LLC

Inventor： Javier Martínez Cebrián ,  Roberto Arroyo ,  David Jiménez

IPC: 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：US12182703B2

公开(公告)日：2024-12-31

申请号：US17598792

申请日：2019-03-28

Applicant: Nielsen Consumer LLC

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

IPC: G06V30/413 ,  G06N3/08 ,  G06V10/25 ,  G06V10/82 ,  G06V20/62 ,  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：US20230230408A1

公开(公告)日：2023-07-20

申请号：US17872801

申请日：2022-07-25

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  Jose Javier Yebes Torres

IPC: G06V30/42 ,  G06V30/416 ,  G06V30/10 ,  G06V10/82 ,  G06V30/414 ,  G06V30/413 ,  G06Q30/02

CPC classification number: G06V30/42 ,  G06V30/416 ,  G06V30/10 ,  G06V10/82 ,  G06V30/414 ,  G06V30/413 ,  G06Q30/0201

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for decoding images. An example apparatus to decode an image comprises interface circuitry to receive an image of a purchase document, and processor circuitry to execute the machine readable instructions to extract text from the image of the purchase document, the image of the purchase document to memorialize a transaction that includes at least one product; determine a type of the purchase document to which the image corresponds; apply one of a first pipeline or a second pipeline to the image of the purchase document based on the type of the purchase document; obtain purchase facts corresponding to a respective one of the at least one product memorialized in the image of the purchase document; and map the obtained purchase facts against a products database to identify the at least one product memorialized in the image of the purchase document.

公开(公告)号：US20230214899A1

公开(公告)日：2023-07-06

申请号：US17566135

申请日：2021-12-30

Applicant: Nielsen Consumer LLC

Inventor： Javier Martínez Cebrián ,  Roberto Arroyo ,  David Jiménez

IPC: G06Q30/06 ,  G06V30/10 ,  G06T7/33

CPC classification number: G06Q30/0625 ,  G06V30/10 ,  G06T7/33 ,  G06T2207/20081

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：US11544509B2

公开(公告)日：2023-01-03

申请号：US17072740

申请日：2020-10-16

Applicant: Nielsen Consumer LLC

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

IPC: G06K9/62 ,  G06T3/40 ,  G06N3/08 ,  G06V10/25

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：US11151425B2

公开(公告)日：2021-10-19

申请号：US16249448

申请日：2019-01-16

Applicant: Nielsen Consumer LLC

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

IPC: G06K9/62 ,  G06K9/46 ,  G06N20/00 ,  G06N7/00 ,  G06N3/08

Abstract: An apparatus includes a feature extractor to generate image descriptors based on retail product tag images corresponding to a retailer category; a probability density function generator to generate a probability density function of probability values corresponding to visual features represented in the image descriptors; a sample selector to select ones of the probability values based on a sample selection algorithm that identifies positions in the probability density function of the ones of the probability values to be selected; a category signature generator to generate a category signature based on the selected ones of the probability values; and a processor to train a convolutional neural network (CNN) based on a feature descriptor and one of the retail product tag images, the feature descriptor including the category signature concatenated to one of the image descriptors, the training to cause the CNN to classify the one of the retail product tag images as a type of product tag.

公开(公告)号：US12277786B2

公开(公告)日：2025-04-15

申请号：US18476978

申请日：2023-09-28

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez ,  Javier Martínez Cebrián

IPC: G06V30/148 ,  G06V20/62 ,  G06V20/70 ,  G06V30/14 ,  G06V30/19

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to categorize image text. An example apparatus includes region detection model training circuitry to identify candidate regions in an input image that include text, and generate bounding boxes around respective ones of the identified candidate regions. The example apparatus also includes mask application circuitry to improve optical character recognition (OCR) by applying a mask to the input image, wherein the mask removes content of the input image except for portions of the input image within the bounding boxes, and OCR circuitry to perform OCR on the masked input image to obtain text data within the bounding boxes.

公开(公告)号：US20240144709A1

公开(公告)日：2024-05-02

申请号：US18476978

申请日：2023-09-28

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  David Jiménez ,  Javier Martínez Cebrián

IPC: G06V30/148 ,  G06V20/62 ,  G06V20/70 ,  G06V30/14 ,  G06V30/19

CPC classification number: G06V30/153 ,  G06V20/62 ,  G06V20/70 ,  G06V30/1448 ,  G06V30/19173

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to categorize image text. An example apparatus includes region detection model training circuitry to identify candidate regions in an input image that include text, and generate bounding boxes around respective ones of the identified candidate regions. The example apparatus also includes mask application circuitry to improve optical character recognition (OCR) by applying a mask to the input image, wherein the mask removes content of the input image except for portions of the input image within the bounding boxes, and OCR circuitry to perform OCR on the masked input image to obtain text data within the bounding boxes.

公开(公告)号：US20240144676A1

公开(公告)日：2024-05-02

申请号：US17976528

申请日：2022-10-28

Applicant: Nielsen Consumer LLC

Inventor： Roberto Arroyo ,  Sergio Álvarez Pardo ,  Aitor Aller ,  Miguel Eduardo Ortiz ,  Luis Miguel Bergasa

IPC: G06V20/00 ,  G06F40/40 ,  G06V10/82

CPC classification number: G06V20/36 ,  G06F40/40 ,  G06V10/82 ,  G06V2201/07 ,  G06V2201/10

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for providing responses to queries regarding store observation images. An example computer readable medium includes instructions that, when executed, cause a machine to at least obtain first metadata associated with a set of store dictionaries, select ones of the set of store dictionaries for use based on the associated first metadata, obtain second metadata associated with a set of question templates, select ones of the set of question templates for use based on the associated second metadata, generate question-answer pairs using the selected ones of the set of store dictionaries and the selected ones of the set of question templates, train a machine-learning model using the question-answer pairs, and provide query responses using the trained machine-learning model.