公开(公告)号：US20220189190A1

公开(公告)日：2022-06-16

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 ,  G06V30/416 ,  G06V10/82

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：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：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.

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：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：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.