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    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM
    4.
    发明申请
    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM 审中-公开
    图像质量评估商品物品

    公开(公告)号：US20160154822A1

    公开(公告)日：2016-06-02

    申请号：US15015281

    申请日：2016-02-04

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06F17/30 ,  G06Q30/02

    CPC classification number: G06Q30/0276 ,  G06F16/24578 ,  G06F16/58 ,  G06F16/5838 ,  G06F16/5854 ,  G06Q30/0243 ,  G06T7/0002 ,  G06T2207/30168

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    Abstract translation: 基于图像的特征可能与描绘产品的图像的点击率显着相关，这可能为非正式概念提供更正式的基础，即与质量差的图像相比，高质量的图像将导致更好的点击率 。 因此，图像评估机被配置为分析基于图像的特征以提高购物搜索应用（例如，产品搜索引擎）的点击率。 此外，图像评估机可以基于图像质量因素对搜索结果进行排序，并且可以通知卖方关于低质量图像。 这可能会影响网上购物网站的品牌价值，从而对网络购物网站产生积极的长期影响。

    IDENTIFYING PRODUCT METADATA FROM AN ITEM IMAGE
    5.
    发明申请
    IDENTIFYING PRODUCT METADATA FROM AN ITEM IMAGE 有权
    从项目图像识别产品元数据

    公开(公告)号：US20160110385A1

    公开(公告)日：2016-04-21

    申请号：US14983458

    申请日：2015-12-29

    Applicant: eBay Inc.

    Inventor： Sanjay Pundlkrao Ghatare ,  Ali Dasdan ,  Naren Chittar

    IPC: G06F17/30 ,  G06T7/00 ,  G06T7/40

    CPC classification number: G06F17/30253 ,  G06F17/30259 ,  G06Q30/02 ,  G06T7/11 ,  G06T7/162 ,  G06T7/194 ,  G06T7/90 ,  G06T2207/10024

    Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.

    Abstract translation: 元数据提取机访问描绘项目的图像。 图像中描绘的项目可以具有描述项目的特征的属性和对应于项目的属性并指定属性的值的属性描述符。 元数据提取机执行图像分析。 分析可以包括基于图像的图像分割识别对应于属性的属性描述符。 元数据提取机器基于与图像中描绘的项目的属性相对应的属性描述符的识别，将通信发送到用户的设备。

    Identifying prohibited information within and item image
    6.
    发明授权
    Identifying prohibited information within and item image 有权
    识别被禁止的信息和项目图像

    公开(公告)号：US09256618B2

    公开(公告)日：2016-02-09

    申请号：US14255735

    申请日：2014-04-17

    Applicant: eBay Inc.

    Inventor： Sanjay Pundlkrao Ghatare ,  Ali Dasdan ,  Naren Chittar

    IPC: G06K9/00 ,  G06F17/30 ,  G06Q30/02

    CPC classification number: G06F17/30253 ,  G06F17/30259 ,  G06Q30/02 ,  G06T7/11 ,  G06T7/162 ,  G06T7/194 ,  G06T7/90 ,  G06T2207/10024

    Abstract: Techniques for identifying prohibited information within an image are described. For example, a machine accesses an image that depicts an item. The image may include prohibited information that is disallowed in accordance with a policy. The machine identifies the prohibited information within the image based on an analysis of the image. The machine initiates a response to the prohibited information based on the identifying of the prohibited information within the image.

    Abstract translation: 描述用于识别图像内的禁止信息的技术。 例如，机器访问描绘项目的图像。 图像可能包括根据策略禁止的禁止信息。 该机器基于对图像的分析来识别图像内的禁止信息。 基于图像中禁止的信息的识别，机器发起对禁止信息的响应。

    PRE-COMPUTING DIGESTS FOR IMAGE SIMILARITY SEARCHING OF IMAGE-BASED LISTINGS IN A NETWORK-BASED PUBLICATION SYSTEM
    7.
    发明申请
    PRE-COMPUTING DIGESTS FOR IMAGE SIMILARITY SEARCHING OF IMAGE-BASED LISTINGS IN A NETWORK-BASED PUBLICATION SYSTEM 有权
    基于网络的出版系统中基于图像的图像相似性搜索的预计算

    公开(公告)号：US20140105489A1

    公开(公告)日：2014-04-17

    申请号：US14133455

    申请日：2013-12-18

    Applicant: eBay Inc.

    Inventor： Naren Chittar ,  Sanjay Pundlkrao Ghatare ,  Ryan McDonald ,  John Roper ,  Michael Schmitz

    IPC: G06F17/30

    CPC classification number: G06F17/30277 ,  G06F17/30244 ,  G06F17/3025 ,  G06K9/3208 ,  G06K9/4642 ,  G06K9/4652 ,  G06T7/90

    Abstract: A system and method, which may be an offline method, extracts relevant image features about images in a network-based publication system for enabling image similarity searching of such images. An image is uploaded and may be sent to a picture processing service, which generates digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve images by image similarity at scale. A similar process can be performed for an image query for searching the search database for images similar to the query image.

    Abstract translation: 可以是离线方法的系统和方法在基于网络的发布系统中提取关于图像的相关图像特征，以使得能够进行这样的图像的图像相似性搜索。 图像被上传并且可以被发送到图像处理服务，其产生摘要。 摘要是每个表示特定图像特征（例如边缘，颜色，纹理或单词）的压缩数据结构。 然后将这些摘要存储在搜索数据库中，其中摘要可以用于按比例的图像相似度来检索图像。 可以对图像查询执行类似的处理，以搜索搜索数据库中与查询图像类似的图像。

    Image quality assessment to merchandise an item
    8.
    发明授权
    Image quality assessment to merchandise an item 有权

    公开(公告)号：US11282116B2

    公开(公告)日：2022-03-22

    申请号：US16666858

    申请日：2019-10-29

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06K9/00 ,  G06Q30/02 ,  G06F16/58 ,  G06F16/583 ,  G06F16/2457 ,  G06T7/00

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

    IDENTIFYING PRODUCT METADATA FROM AN ITEM IMAGE
    9.
    发明申请
    IDENTIFYING PRODUCT METADATA FROM AN ITEM IMAGE 审中-公开

    公开(公告)号：US20200218757A1

    公开(公告)日：2020-07-09

    申请号：US16733786

    申请日：2020-01-03

    Applicant: eBay Inc.

    Inventor： Sanjay Pundlkrao Ghatare ,  Ali Dasdan ,  Naren Chittar

    IPC: G06F16/583 ,  G06T7/11 ,  G06T7/162 ,  G06T7/90 ,  G06T7/194 ,  G06Q30/02

    Abstract: A metadata extraction machine accesses an image that depicts an item. The item depicted in the image may have an attribute that describes a characteristic of the item and an attribute descriptor that corresponds to the attribute of the item and specifies a value of the attribute. The metadata extraction machine performs an analysis of the image. The analysis may include identifying the attribute descriptor corresponding to the attribute based on image segmentation of the image. The metadata extraction machine transmits a communication to a device of a user based on the identifying of the attribute descriptor corresponding to the attribute of the item depicted in the image.

    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM
    10.
    发明申请
    IMAGE QUALITY ASSESSMENT TO MERCHANDISE AN ITEM 审中-公开

    公开(公告)号：US20200160403A1

    公开(公告)日：2020-05-21

    申请号：US16666858

    申请日：2019-10-29

    Applicant: eBay Inc.

    Inventor： Anjan Goswami ,  Naren Chittar ,  Ali Dasdan ,  Sanjay Pundlkrao Ghatare ,  Sandip Namdeo Gaikwad ,  Sung Hwan Chung

    IPC: G06Q30/02 ,  G06T7/00 ,  G06F16/2457 ,  G06F16/583 ,  G06F16/58

    Abstract: Image-based features may be significantly correlated with click-through rates of images that depict a product, which may provide a more formal basis for the informal notion that good quality images will result in better click-through rates, as compared to poor quality images. Accordingly, an image assessment machine is configured to analyze image-based features to improve click-through rates for shopping search applications (e.g., a product search engine). Moreover, the image assessment machine may rank search results based on image quality factors and may notify sellers about low quality images. This may have the effect of improving the brand value for an online shopping website and accordingly have a positive long-term impact on the online shopping website.

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