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    ITEM RECOMMENDATIONS USING IMAGE FEATURE DATA
    14.
    发明申请
    ITEM RECOMMENDATIONS USING IMAGE FEATURE DATA 有权
    使用图像特征数据的项目建议

    公开(公告)号：US20150055860A1

    公开(公告)日：2015-02-26

    申请号：US14521318

    申请日：2014-10-22

    Applicant: eBay Inc.

    Inventor： Anurag Bhardwaj ,  Wei Di ,  Muhammad Raffay Hamid ,  Robinson Piramuthu ,  Neelakantan Sundaresan

    IPC: G06Q30/06 ,  G06F17/30 ,  G06K9/46

    CPC classification number: G06K9/66 ,  G06F17/30247 ,  G06F17/3025 ,  G06F17/30256 ,  G06F17/30268 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30867 ,  G06K9/4642 ,  G06K9/4647 ,  G06K9/4652 ,  G06K9/6215 ,  G06K9/6217 ,  G06Q30/0629 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T7/13 ,  G06T7/41 ,  G06T7/90 ,  G06T2207/10024

    Abstract: An apparatus and method to facilitate finding recommendations for a query image are disclosed herein. A color histogram is determined corresponding to the query image. Determining at least one of a visual pattern included in the query image, a dominant color of the query image, or an orientation histogram corresponding to the query image. Performing comparison of a first image attribute of the query image to a second image attribute of an inventory image corresponding to an inventory item, wherein the first image attribute used in the comparison is selected from among the color histogram, the dominant color, and the orientation histogram. The selection of the first image attribute is based on a confidence score associated with the visual pattern, the dominant color, or a directionality present in the query image.

    Abstract translation: 本文公开了一种便于查找查询图像的建议的装置和方法。 根据查询图像确定颜色直方图。 确定包括在查询图像中的视觉图案中的至少一个，查询图像的主要颜色，或与查询图像对应的方向直方图。 执行查询图像的第一图像属性与对应于库存物品的库存图像的第二图像属性的比较，其中在比较中使用的第一图像属性从颜色直方图，主色和取向中选择 直方图。 第一图像属性的选择基于与视觉图案相关联的置信度得分，主要颜色或查询图像中存在的方向性。

    IMAGE EVALUATION
    15.
    发明申请
    IMAGE EVALUATION 有权

    公开(公告)号：US20250014055A1

    公开(公告)日：2025-01-09

    申请号：US18887992

    申请日：2024-09-17

    Applicant: eBay Inc.

    Inventor： Wei Di ,  Vignesh Jagadeesh ,  Robinson Piramuthu ,  Elizabeth Churchill ,  Anurag Bhardwaj

    IPC: G06Q30/0201 ,  G06F16/58 ,  G06F16/583 ,  G06F16/60 ,  G06F16/63 ,  G06F18/24 ,  G06F18/2415 ,  G06Q30/0601 ,  G06V30/192 ,  G06V30/198

    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 per forms 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.

    IMAGE EVALUATION
    16.
    发明申请
    IMAGE EVALUATION 有权

    公开(公告)号：US20220391646A1

    公开(公告)日：2022-12-08

    申请号：US17886648

    申请日：2022-08-12

    Applicant: eBay Inc

    Inventor： Wei Di ,  Vignesh Jagadeesh ,  Robinson Piramuthu ,  Elizabeth Churchill ,  Anurag Bhardwaj

    IPC: G06K9/62 ,  G06F16/58 ,  G06F16/583 ,  G06V10/40 ,  G06Q30/06 ,  G06Q30/02 ,  G06F16/60 ,  G06F16/63

    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.

    IMAGE EVALUATION
    17.
    发明申请
    IMAGE EVALUATION 审中-公开

    公开(公告)号：US20190122083A1

    公开(公告)日：2019-04-25

    申请号：US16225338

    申请日：2018-12-19

    Applicant: eBay Inc.

    Inventor： Wei Di ,  Vignesh Jagadeesh ,  Robinson Piramuthu ,  Elizabeth Churchill ,  Anurag Bhardwaj

    IPC: G06K9/62 ,  G06F16/583 ,  G06F16/58 ,  G06Q30/06 ,  G06F16/63 ,  G06K9/46 ,  G06Q30/02 ,  G06F16/60

    Abstract: A machine may he 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.

    Estimating depth from a single image
    18.
    发明授权
    Estimating depth from a single image 有权

    公开(公告)号：US10255686B2

    公开(公告)日：2019-04-09

    申请号：US15408648

    申请日：2017-01-18

    Applicant: eBay Inc.

    Inventor： Anurag Bhardwaj ,  Mohammad Haris Baig ,  Robinson Piramuthu ,  Vignesh Jagadeesh ,  Wei Di

    IPC: G06T7/50 ,  G06F17/30 ,  G06K9/00 ,  G06T7/194 ,  G06T7/62 ,  G06K9/46

    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.

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