Image evaluation
    31.
    发明授权
    Image evaluation 有权
    图像评估

    公开(公告)号:US09384422B2

    公开(公告)日:2016-07-05

    申请号:US14319224

    申请日:2014-06-30

    Applicant: eBay Inc.

    Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

    Abstract translation: 机器可以被配置为对描绘要出售的物品的图像执行图像评估,并提供用于改进描绘物品的图像以增加图像中描绘的物品的销售的建议。 例如,机器访问用户行为分析的结果。 机器从用户设备接收项目的图像。 基于对接收到的图像的分析和用户行为分析的结果,机器对接收到的图像进行图像评估。 图像评估的执行可以包括确定与所接收的图像有关的用户参与期望的用户行为的可能性。 然后,机器基于接收到的图像的评估生成引用接收到的图像的输出,并且指示用户参与所期望的行为的可能性。

    Complementary item recommendations using image feature data
    32.
    发明授权
    Complementary item recommendations using image feature data 有权
    使用图像特征数据的补充项目建议

    公开(公告)号:US08737728B2

    公开(公告)日:2014-05-27

    申请号:US13631839

    申请日:2012-09-28

    Applicant: eBay Inc.

    Abstract: An apparatus and method to facilitate finding complementary recommendations are disclosed herein. One or more fashion trend or pleasing color combination rules are determined based on data obtained from one or more sources. One or more template images and rule triggers corresponding to the fashion trend or pleasing color combination rules are generated, each of the rule triggers associated with at least one of the template images. A processor compares a first image attribute of a particular one of the template images to a second image attribute of each of a plurality of inventory images corresponding to the plurality of inventory items to identify the inventory items complementary to the query image. The particular one of the template images is selected based on the rule trigger corresponding to the particular one of the template images being applicable for a query image.

    Abstract translation: 本文公开了一种便于查找补充建议的装置和方法。 基于从一个或多个源获得的数据来确定一个或多个时尚趋势或令人愉快的颜色组合规则。 产生与时尚趋势或令人愉悦的颜色组合规则相对应的一个或多个模板图像和规则触发器,每个规则触发器与至少一个模板图像相关联。 处理器将特定模板图像的第一图像属性与对应于多个清单项目的多个库存图像中的每一个的第二图像属性进行比较,以识别与查询图像互补的库存项目。 基于与适用于查询图像的特定模板图像相对应的规则触发来选择特定模板图像。

    FASHION PREFERENCE ANALYSIS
    33.
    发明申请

    公开(公告)号:US20210166290A1

    公开(公告)日:2021-06-03

    申请号:US17102194

    申请日:2020-11-23

    Applicant: eBay Inc.

    Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.

    Fine-grained categorization
    34.
    发明授权

    公开(公告)号:US10885394B2

    公开(公告)日:2021-01-05

    申请号:US16367367

    申请日:2019-03-28

    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.

    FINE-GRAINED CATEGORIZATION
    35.
    发明申请

    公开(公告)号:US20190266451A1

    公开(公告)日:2019-08-29

    申请号:US16367367

    申请日:2019-03-28

    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.

    Image evaluation
    36.
    发明授权

    公开(公告)号:US10176406B2

    公开(公告)日:2019-01-08

    申请号:US15151435

    申请日:2016-05-10

    Applicant: eBay Inc.

    Abstract: A machine may be configured to perform image evaluation of images depicting items for online publishing. For example, the machine performing a user behavior analysis based on data pertaining to interactions by a plurality of users with a plurality of images pertaining to a particular type of item. The machine determines, based on the user behavior analysis, that a presentation type associated with one or more images of the plurality of images corresponds to a user behavior in relation to the one or more images. The machine determines that an item included in a received image is of the particular type of item. The machine generates an output for display in a client device. The output includes a reference to the received image and a recommendation of the presentation type for the item included in the received image, for publication by a web server of a publication system.

    FASHION PREFERENCE ANALYSIS
    37.
    发明申请

    公开(公告)号:US20180365750A1

    公开(公告)日:2018-12-20

    申请号:US16009626

    申请日:2018-06-15

    Applicant: eBay Inc.

    Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.

    FINE-GRAINED CATEGORIZATION
    39.
    发明申请
    FINE-GRAINED CATEGORIZATION 有权
    精细分类

    公开(公告)号:US20160210533A1

    公开(公告)日:2016-07-21

    申请号:US14967876

    申请日:2015-12-14

    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.

    Abstract translation: 图像通过图像标识符,以识别图像的粗略类别和分类对象的边界框。 使用掩码来识别代表对象的图像部分。 给定前景掩模,掩模的凸包被定位,并且装配包围船体的最小面积的对齐矩形。 对齐的边界框被旋转和缩放,使得前景对象粗略地移动到标准方向和大小(称为校准)。 校准图像用作细粒度分类模块的输入,该模块确定输入图像粗略类别内的精细类别。

    JOINT-BASED ITEM RECOGNITION
    40.
    发明申请
    JOINT-BASED ITEM RECOGNITION 审中-公开
    基于联合的项目识别

    公开(公告)号:US20160203525A1

    公开(公告)日:2016-07-14

    申请号:US14963026

    申请日:2015-12-08

    Applicant: eBay Inc.

    Abstract: For an input image of a person, a set of object proposals are generated in the form of bounding boxes. A pose detector identifies coordinates in the image corresponding to locations on the person's body, such as the waist, head, hands, and feet of the person. A convolutional neural network receives the portions of the input image defined by the bounding boxes and generates a feature vector for each image portion. The feature vectors are input to one or more support vector machine classifiers, which generate an output representing a probability of a match with an item. The distance between the bounding box and a joint associated with the item is used to modify the probability. The modified probabilities for the support vector machine are then compared with a threshold and each other to identify the item.

    Abstract translation: 对于人的输入图像,以边界框的形式生成一组对象提议。 姿势检测器识别对应于人的身体上的位置(例如人的腰部,头部,手和脚)的图像中的坐标。 卷积神经网络接收由边界框定义的输入图像的部分,并为每个图像部分生成特征向量。 特征向量被输入到一个或多个支持向量机分类器,其产生表示与项目匹配的概率的输出。 边界框与与项目关联的关节之间的距离用于修改概率。 然后将支持向量机的修改后的概率与阈值进行比较,以确定项目。

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