公开(公告)号：US20240071044A1

公开(公告)日：2024-02-29

申请号：US18494483

申请日：2023-10-25

Applicant: VIZIT LABS, INC.

Inventor： Elham Saraee ,  Zachary Halloran ,  Jehan Hamedi

IPC: G06V10/74 ,  G06F16/438 ,  G06N3/045 ,  G06V10/40 ,  G06V10/82

CPC classification number: G06V10/761 ,  G06F16/438 ,  G06N3/045 ,  G06V10/40 ,  G06V10/82

Abstract: A method includes accessing a web-based property over a network; storing a plurality of images or videos from the web-based property and associations between the plurality of images or videos and a target audience identifier responsive to the web-based property having a stored association with the target audience identifier; retrieving the plurality of images or videos from the database responsive to each of the plurality of images or videos having stored associations with the target audience identifier; executing a neural network to generate a performance score for each of the plurality of images or videos; calculating a target audience benchmark; executing the neural network to generate a first performance score for a first image or video and a second performance score for a second image or video; comparing the first performance score and the second performance score to the benchmark; and generating a record identifying the first image or video.

公开(公告)号：US20230050051A1

公开(公告)日：2023-02-16

申请号：US17979978

申请日：2022-11-03

Applicant: Vizit Labs, Inc.

Inventor： Elham Saraee ,  Jehan Hamedi ,  Zachary Halloran

IPC: G06K9/62 ,  G06V10/40

Abstract: A method may include executing a neural network to extract a first plurality of features from a plurality of first training images and a second plurality of features from a second training image; generating a model comprising a first image performance score for each of the plurality of first training images and a feature weight for each feature, the feature weight for each feature of the first plurality of features calculated based on an impact of a variation in the feature on first image performance scores of the plurality of first training images; training the model by adjusting the impact of a variation of each of a first set of features that correspond to the second plurality of features; executing the model using a third set of features from a candidate image to generate a candidate image performance score; and generating a record identifying the candidate image performance score.

公开(公告)号：US20220198779A1

公开(公告)日：2022-06-23

申请号：US17548341

申请日：2021-12-10

Applicant: VIZIT LABS, INC.

Inventor： Elham Saraee ,  Zachary Halloran ,  Jehan Hamedi

IPC: G06V10/74 ,  G06N3/04 ,  G06V10/40 ,  G06V10/82 ,  G06F16/438

Abstract: A method includes accessing a web-based property over a network; storing a plurality of images or videos from the web-based property and associations between the plurality of images or videos and a target audience identifier responsive to the web-based property having a stored association with the target audience identifier; retrieving the plurality of images or videos from the database responsive to each of the plurality of images or videos having stored associations with the target audience identifier; executing a neural network to generate a performance score for each of the plurality of images or videos; calculating a target audience benchmark; executing the neural network to generate a first performance score for a first image or video and a second performance score for a second image or video; comparing the first performance score and the second performance score to the benchmark; and generating a record identifying the first image or video.

公开(公告)号：US12293294B2

公开(公告)日：2025-05-06

申请号：US17316503

申请日：2021-05-10

Applicant: Vizit Labs, Inc.

Inventor： Elham Saraee ,  Jehan Hamedi ,  Zachary Halloran ,  Arsenii Mustafin

IPC: G06N3/084 ,  G06N3/08 ,  G06Q30/0241 ,  G06T11/00 ,  G06T11/60 ,  G06V10/764 ,  G06V10/776 ,  G06V20/40

Abstract: A method is disclosed. The method may include receiving an image or video; extracting a plurality of features from the image or video; executing a neural network using the plurality of features to obtain a performance score for the image or video, the neural network comprising an input layer, a plurality of intermediate layers subsequent to the input layer, and a regression layer or a classification layer; extracting values from one or more signals between an intermediate layer and the regression layer or the classification layer; for each of the plurality of features, calculating, based on at least one of the one or more values, an impact score indicating an impact the feature had on the performance score; and generating, based on one or more impact scores for the plurality of features, indications indicating an impact different features of the image or video had on the performance score.

公开(公告)号：US12277748B2

公开(公告)日：2025-04-15

申请号：US18915151

申请日：2024-10-14

Applicant: VIZIT LABS, INC.

Inventor： Elham Saraee ,  Jehan Hamedi ,  Zachary Halloran

IPC: G06V10/40 ,  G06F16/438 ,  G06N3/045 ,  G06V10/74 ,  G06V10/82

Abstract: A method includes storing a database comprising a plurality of pointers to web pages and identifiers of entities associated with the plurality of pointers; receiving a first request comprising a first identifier; identifying subset of the plurality of pointers from the database responsive to each pointer of the subset having a stored association with a first identification that matches the first identifier; responsive to identifying the subset of the plurality of pointers, establishing, via one or more pointers, a connection with a server hosting a set of web pages associated with the subset of the plurality of pointers; retrieving one or more images or videos from each of the set of web pages over the established connection; calculating a performance score for each of the one or more images or videos; and generating a record identifying the performance score for each of the one or more images or videos.

公开(公告)号：US12259945B2

公开(公告)日：2025-03-25

申请号：US18922058

申请日：2024-10-21

Applicant: VIZIT LABS, INC.

Inventor： Elham Saraee ,  Jehan Hamedi ,  Zachary Halloran

IPC: G06F18/21 ,  G06F18/214 ,  G06F18/22 ,  G06V10/40 ,  G06V10/82

Abstract: A method may include executing a neural network to extract a first plurality of features from a plurality of first training images and a second plurality of features from a second training image; generating a model comprising a first image performance score for each of the plurality of first training images and a feature weight for each feature, the feature weight for each feature of the first plurality of features calculated based on an impact of a variation in the feature on first image performance scores of the plurality of first training images; training the model by adjusting the impact of a variation of each of a first set of features that correspond to the second plurality of features; executing the model using a third set of features from a candidate image to generate a candidate image performance score; and generating a record identifying the candidate image performance score.

公开(公告)号：US12223689B2

公开(公告)日：2025-02-11

申请号：US18893745

申请日：2024-09-23

Applicant: VIZIT LABS, INC.

Inventor： Jehan Hamedi ,  Elham Saraee ,  Zachary Halloran

IPC: G06V10/40 ,  G06F16/438 ,  G06N3/045 ,  G06V10/74 ,  G06V10/82

Abstract: A method includes receiving a pointer to a plurality of images of a web page, the web page configured to display the plurality of images in a first arrangement; retrieving, using the pointer, the plurality of images of the web page; executing at least one machine learning model using the plurality of images from the web page as input to generate at least one image performance score for each image of the plurality of images, the at least one machine learning model trained based on a training set of images labeled based at least on interaction data corresponding to images of the training set of images; and rearranging the plurality of images on the web page to a second arrangement according to the at least one image performance score generated for each image of the plurality of images of the web page.

公开(公告)号：US20250014314A1

公开(公告)日：2025-01-09

申请号：US18893745

申请日：2024-09-23

Applicant: VIZIT LABS, INC.

Inventor： Jehan Hamedi ,  Elham Saraee ,  Zachary Halloran

IPC: G06V10/74 ,  G06F16/438 ,  G06N3/045 ,  G06V10/40 ,  G06V10/82

Abstract: A method includes receiving a pointer to a plurality of images of a web page, the web page configured to display the plurality of images in a first arrangement; retrieving, using the pointer, the plurality of images of the web page; executing at least one machine learning model using the plurality of images from the web page as input to generate at least one image performance score for each image of the plurality of images, the at least one machine learning model trained based on a training set of images labeled based at least on interaction data corresponding to images of the training set of images; and rearranging the plurality of images on the web page to a second arrangement according to the at least one image performance score generated for each image of the plurality of images of the web page.

公开(公告)号：US12118769B1

公开(公告)日：2024-10-15

申请号：US18752622

申请日：2024-06-24

Applicant: VIZIT LABS, INC.

Inventor： Elham Saraee ,  Jehan Hamedi ,  Zachary Halloran

IPC: G06V10/40 ,  G06F16/438 ,  G06N3/045 ,  G06V10/74 ,  G06V10/82

CPC classification number: G06V10/761 ,  G06F16/438 ,  G06N3/045 ,  G06V10/40 ,  G06V10/82

Abstract: A method includes displaying a first user interface including a target image and a task selection element, in response to a selection of the task selection element, displaying a second user interface including a target audience selection element, in response to a selection of a target audience using the target audience selection element, displaying a third user interface including a benchmark selection element, in response to a selection of a benchmark using the benchmark selection element, executing a target audience machine learning model using as input the target image to generate a performance score, calculating a benchmark score for the target image based on the performance score of the target image and performance scores for the images of the benchmark, and displaying a fourth user interface including the target image and the benchmark score.

公开(公告)号：US20240330407A1

公开(公告)日：2024-10-03

申请号：US18737861

申请日：2024-06-07

Applicant: VIZIT LABS, INC.

Inventor： Elham Saraee ,  Jehan Hamedi ,  Zachary Halloran

IPC: G06F18/214 ,  G06F18/22 ,  G06V10/40 ,  G06V10/82

CPC classification number: G06F18/214 ,  G06F18/22 ,  G06V10/40 ,  G06V10/82

Abstract: A method may include executing a neural network to extract a first plurality of features from a plurality of first training images and a second plurality of features from a second training image; generating a model comprising a first image performance score for each of the plurality of first training images and a feature weight for each feature, the feature weight for each feature of the first plurality of features calculated based on an impact of a variation in the feature on first image performance scores of the plurality of first training images; training the model by adjusting the impact of a variation of each of a first set of features that correspond to the second plurality of features; executing the model using a third set of features from a candidate image to generate a candidate image performance score; and generating a record identifying the candidate image performance score.