IMAGE RETRIEVAL METHOD, IMAGE RETRIEVAL DEVICES, IMAGE RETRIEVAL SYSTEM AND IMAGE DISPLAY SYSTEM

    公开(公告)号:US20230004595A1

    公开(公告)日:2023-01-05

    申请号:US17781093

    申请日:2021-04-30

    Abstract: An image retrieval method, an image retrieval device, and an image retrieval system, which are used for image retrieval, are provided. The image retrieval method comprises: receiving a first original image (S100); extracting an image feature of the first original image to obtain a first feature code (S200); obtaining first target information according to the first feature code (S300); according to the first target information, searching for a first target painting set corresponding to the first target information in at least one of a painting library and a knowledge graph library, so as to obtain the first target painting set (S400); and outputting the first target painting set (S500).

    METHOD AND APPARATUS FOR OBTAINING PAINTING
    3.
    发明申请

    公开(公告)号:US20200074149A1

    公开(公告)日:2020-03-05

    申请号:US16550593

    申请日:2019-08-26

    Inventor: Shaonan ZHANG

    Abstract: The present disclosure provides a method and apparatus for obtaining a painting. The method includes receiving an acquired face image of a user who is viewing a current painting, analyzing a received face image to determine a target region on the current painting that the user is gazing, and obtaining at least one associated painting associated with the target region. According to the present disclosure, paintings are recommended according to the user's current preference, accuracy of painting recommendation is increased, and then the user experience is improved.

    INFORMATION RECOMMENDATION METHOD AND DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20210065218A1

    公开(公告)日:2021-03-04

    申请号:US17043110

    申请日:2020-01-14

    Abstract: An information recommendation method and device and a storage medium. The information recommendation method includes: determining a target recommendation parameter corresponding to a page identifier of a page, according to the page identifier and a correspondence between a page identifier and a recommendation parameter; determining a corresponding target recommendation strategy according to the target recommendation parameter; querying a correspondence between a recommendation strategy and a recommendation result according to the target recommendation strategy, so as to obtain at least one initial recommendation result; and fusing the at least one initial recommendation result according to a corresponding weight to obtain a target recommendation result.

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