Method, medium, and system for detecting cross-lingual comparable listings for machine translation using image similarity

    公开(公告)号:US10319019B2

    公开(公告)日:2019-06-11

    申请号:US15264873

    申请日:2016-09-14

    Applicant: eBay Inc.

    Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature. Based on a similarity score of the first and second feature vectors at least meeting a similarity score threshold, the Listing Engine generates a pairing of the first listing in the first language with the second listing in the second language for inclusion in training data of a machine translation system.

    Fine-grained categorization
    53.
    发明授权

    公开(公告)号:US10282642B2

    公开(公告)日:2019-05-07

    申请号:US15788115

    申请日:2017-10-19

    Applicant: eBay Inc.

    Abstract: An image is passed through an image identifier to identify a coarse category for the image and a bounding box for a categorized object. A mask is used to identify the portion of the image that represents the object. Given the foreground mask, the convex hull of the mask is located and an aligned rectangle of minimum area that encloses the hull is fitted. The aligned bounding box is rotated and scaled, so that the foreground object is roughly moved to a standard orientation and size (referred to as calibrated). The calibrated image is used as an input to a fine-grained categorization module, which determines the fine category within the coarse category for the input image.

    Systems and methods to fit an image of an inventory part

    公开(公告)号:US10115248B2

    公开(公告)日:2018-10-30

    申请号:US14214357

    申请日:2014-03-14

    Applicant: eBay Inc.

    Abstract: Systems and methods to fit an image of an inventory part are described. The system receives, over a network, a selection that identities a part type and further receives, over the network, an image of a vehicle. The system antomatically identifies an image of a first inventory part based on the selection of the part type and the image of the vehicle. The system automatically positions two boundaries of a rectangle over the image of the vehicle based on the part type, the rectangle including an image of a first vehicle part. The system fits the image of the first inventory part over the image of the first vehicle part based on the rectangle. The system communicates, over the network, a user interface including the image of the vehicle including the image of the first inventory part fitted over the image of the first vehicle part.

    INTEGRATION OF 3D MODELS
    57.
    发明申请

    公开(公告)号:US20180261001A1

    公开(公告)日:2018-09-13

    申请号:US15709997

    申请日:2017-09-20

    Applicant: eBay Inc.

    Abstract: In various example embodiments, a system and method for integration of a three-dimensional model is disclosed. In one example embodiment, a method includes receiving a plurality of images, selecting points on the images and triangulating the points to generate a plurality of depth maps, generate a three-dimensional mesh by combining the plurality of depth maps, generating a three-dimensional model of the item by projecting the plurality of images onto the mesh using the points, calibrating colors used in the model using colors diffuse properties of the colors in the images, and providing a user interface allowing a user to select one or more user points on the three-dimensional model and provide additional information associated with the selected user points.

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