Invention Grant
- Patent Title: Systems and methods for automatic image generation and arrangement using a machine learning architecture
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Application No.: US18652784Application Date: 2024-05-01
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Publication No.: US12100195B2Publication Date: 2024-09-24
- Inventor: Elham Saraee , Zachary Halloran , Jehan Hamedi
- Applicant: VIZIT LABS, INC.
- Applicant Address: US MA Boston
- Assignee: VIZIT LABS, INC.
- Current Assignee: VIZIT LABS, INC.
- Current Assignee Address: US MA Boston
- Agency: Foley & Lardner LLP
- The original application number of the division: US15727044 2017.10.06
- Main IPC: G06V10/40
- 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.
Public/Granted literature
- US20240282079A1 SYSTEMS AND METHODS FOR AUTOMATIC IMAGE GENERATION AND ARRANGEMENT USING A MACHINE LEARNING ARCHITECTURE Public/Granted day:2024-08-22
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