Invention Grant
- Patent Title: Automated image retrieval with graph neural network
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Application No.: US16917422Application Date: 2020-06-30
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Publication No.: US11475059B2Publication Date: 2022-10-18
- Inventor: Chundi Liu , Guangwei Yu , Maksims Volkovs
- Applicant: THE TORONTO-DOMINION BANK
- Applicant Address: CA Toronto
- Assignee: THE TORONTO-DOMINION BANK
- Current Assignee: THE TORONTO-DOMINION BANK
- Current Assignee Address: CA Toronto
- Agency: Patent Capital Group
- Main IPC: G06F16/58
- IPC: G06F16/58 ; G06N3/08 ; G06N3/04

Abstract:
A content retrieval system uses a graph neural network architecture to determine images relevant to an image designated in a query. The graph neural network learns a new descriptor space that can be used to map images in the repository to image descriptors and the query image to a query descriptor. The image descriptors characterize the images in the repository as vectors in the descriptor space, and the query descriptor characterizes the query image as a vector in the descriptor space. The content retrieval system obtains the query result by identifying a set of relevant images associated with image descriptors having above a similarity threshold with the query descriptor.
Public/Granted literature
- US20210049202A1 AUTOMATED IMAGE RETRIEVAL WITH GRAPH NEURAL NETWORK Public/Granted day:2021-02-18
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