Invention Grant
- Patent Title: Content prediction based on pixel-based vectors
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Application No.: US16915328Application Date: 2020-06-29
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Publication No.: US11455485B2Publication Date: 2022-09-27
- Inventor: Michele Saad , Lauren Dest
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/02 ; G06F16/538 ; G06V10/56

Abstract:
Methods and systems disclosed herein relate generally to systems and methods for predicting content based on vector data structures generated from image pixels. A content-prediction application accesses a color palette having two or more color-palette categories and selects a first color of the color palette. The content-prediction application generates a first vector based on a set of pixel values that represent the first color of the color palette. The content-prediction application determines a distance metric between the first vector and a second vector, in which the second vector is identified by applying a convolutional neural network model on an image depicting an item that includes a second color. In response to determining that the distance metric is less than a predetermined threshold, the content-prediction application selects the content item corresponding to the second vector.
Public/Granted literature
- US20210406593A1 CONTENT PREDICTION BASED ON PIXEL-BASED VECTORS Public/Granted day:2021-12-30
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