Title:
FINE-GRAINED VISUAL CONTENT SEARCH PLATFORM
Document Type and Number:
WIPO Patent Application WO/2023/197827
Kind Code:
A1
Abstract:
A visual content search and retrieval platform comprising an object detection model, a coarse-grained image classification model, and a selection of fine-grained image classification models. During inference, the object detection model locates and extracts a query object in a query image; the coarse-grained image classification model classifies the query object's meta-category; the fine-grained image classification model trained and optimized for the meta-category of the query object is selected; and the selected fine-grained image classification model searches and retrieves from an image database images of objects most similar to the query object. The fine-grained image classification model is implemented by a multi-focus fine-grained image search and retrieval apparatus comprising a class learning module learned to generate the query object's overall appearance query features; a local description module learned to generate the query object's local details query features; an outline description module learned to generate the query object's outline query features.
Inventors:
CHAN CHUN MING (CN)
LI ZHENG LONG (CN)
TSE YI PING (CN)
CHEUNG SUNG HO (CN)
LI ZHENG LONG (CN)
TSE YI PING (CN)
CHEUNG SUNG HO (CN)
Application Number:
PCT/CN2023/082313
Publication Date:
October 19, 2023
Filing Date:
March 17, 2023
Export Citation:
Assignee:
HONG KONG APPLIED SCIENCE & TECH RESEARCH INST CO LTD (CN)
International Classes:
G06F16/583
Foreign References:
CN112612913A | 2021-04-06 | |||
CN107291855A | 2017-10-24 | |||
US20170083792A1 | 2017-03-23 | |||
US20160162758A1 | 2016-06-09 | |||
US20200019628A1 | 2020-01-16 |
Attorney, Agent or Firm:
IDEA INTELLECTUAL (SHENZHEN) IP AGENCY (CN)
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