Invention Grant
- Patent Title: Method and system for product search based on deep-learning
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Application No.: US17464571Application Date: 2021-09-01
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Publication No.: US12118765B2Publication Date: 2024-10-15
- Inventor: Myounghoon Cho
- Applicant: NHN Corporation
- Applicant Address: KR Gyeonggi-do
- Assignee: NHN CORPORATION
- Current Assignee: NHN CORPORATION
- Current Assignee Address: KR Gyeonggi-Do
- Agency: Womble Bond Dickinson (US) LLP
- Priority: KR 20200124360 2020.09.25
- Main IPC: G06V10/44
- IPC: G06V10/44 ; G06F18/2413 ; G06Q30/0601

Abstract:
A method and system for performing a deep learning based product search obtain an input image including a target product to be searched; transform a model pose included in the input image; obtain a standard input image having the transformed pose of the model; obtain a main product image having an area including the target product by performing deep learning based on the standard input image; extract a feature vector from the main product image; perform a product search for a product similar to the target product based on the feature vector; and output a result of the product search.
Public/Granted literature
- US20220101032A1 METHOD AND SYSTEM FOR PRODUCT SEARCH BASED ON DEEP-LEARNING Public/Granted day:2022-03-31
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