CORRELATING IMAGE ANNOTATIONS WITH FOREGROUND FEATURES

    公开(公告)号:US20210182333A1

    公开(公告)日:2021-06-17

    申请号:US17107483

    申请日:2020-11-30

    Applicant: eBay Inc.

    Abstract: A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.

    Searchable texture index
    4.
    发明授权

    公开(公告)号:US10402885B2

    公开(公告)日:2019-09-03

    申请号:US15609930

    申请日:2017-05-31

    Applicant: eBay Inc.

    Abstract: Electronic content that has a tactile dimension when presented on a tactile-enabled computing device may be referred to as tactile-enabled content. A tactile-enabled device is a device that is capable of presenting tactile-enabled content in a manner that permits a user to experience tactile quality of electronic content. In one example embodiment, a system is provided for generating content that has a tactile dimension when presented on a tactile-enabled device.

    Re-ranking item recommendations based on image feature data

    公开(公告)号:US10185899B2

    公开(公告)日:2019-01-22

    申请号:US14936052

    申请日:2015-11-09

    Applicant: eBay Inc.

    Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.

    Estimating depth from a single image
    8.
    发明授权
    Estimating depth from a single image 有权
    从单个图像估计深度

    公开(公告)号:US09275078B2

    公开(公告)日:2016-03-01

    申请号:US14288233

    申请日:2014-05-27

    Applicant: eBay Inc.

    Abstract: During a training phase, a machine accesses reference images with corresponding depth information. The machine calculates visual descriptors and corresponding depth descriptors from this information. The machine then generates a mapping that correlates these visual descriptors with their corresponding depth descriptors. After the training phase, the machine may perform depth estimation based on a single query image devoid of depth information. The machine may calculate one or more visual descriptors from the single query image and obtain a corresponding depth descriptor for each visual descriptor from the generated mapping. Based on obtained depth descriptors, the machine creates depth information that corresponds to the submitted single query image.

    Abstract translation: 在训练阶段,机器访问具有相应深度信息的参考图像。 该机器根据该信息计算视觉描述符和相应的深度描述符。 然后,机器生成将这些可视描述符与其相应的深度描述符相关联的映射。 在训练阶段之后,机器可以基于没有深度信息的单个查询图像来执行深度估计。 机器可以从单个查询图像计算一个或多个可视描述符,并从所生成的映射中获得每个可视描述符的相应深度描述符。 基于获得的深度描述符,机器创建与提交的单个查询图像相对应的深度信息。

    System and method for scene text recognition
    9.
    发明授权
    System and method for scene text recognition 有权
    场景文本识别的系统和方法

    公开(公告)号:US09245191B2

    公开(公告)日:2016-01-26

    申请号:US14479217

    申请日:2014-09-05

    Applicant: eBay, Inc.

    Abstract: Apparatus and method for performing accurate text recognition of non-simplistic images (e.g., images with clutter backgrounds, lighting variations, font variations, non-standard perspectives, and the like) may employ a machine-learning approach to identify a discriminative feature set selected from among features computed for a plurality of irregularly positioned, sized, and/or shaped (e.g., randomly selected) image sub-regions.

    Abstract translation: 用于执行非简单图像(例如,具有杂波背景的图像,照明变化,字体变化,非标准透视等)的精确文本识别的装置和方法可以采用机器学习方法来识别所选择的区分特征集 从针对多个不规则定位,尺寸和/或成形(例如,随机选择)的图像子区域计算的特征中。

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