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公开(公告)号：US09607248B2
公开(公告)日：2017-03-28
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
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.
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公开(公告)号：US20160253582A1
公开(公告)日：2016-09-01
申请号：US15151435
申请日：2016-05-10
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
CPC classification number: G06K9/6277 , G06F17/30259 , G06F17/30265 , G06K9/46 , G06K9/6267 , G06Q30/0201 , G06Q30/0601 , G06Q30/0613
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.
Abstract translation: 机器可以被配置为对描绘用于在线发布的项目的图像进行图像评估。 例如，机器基于与具有与特定类型的项目有关的多个图像的多个用户的交互相关的数据执行用户行为分析。 该机器基于用户行为分析确定与多个图像中的一个或多个图像相关联的呈现类型对应于与一个或多个图像有关的用户行为。 机器确定包含在接收到的图像中的项目是特定类型的项目。 机器生成用于在客户端设备中显示的输出。 输出包括对接收到的图像的引用和对于包括在接收到的图像中的项目的呈现类型的推荐，用于由发布系统的web服务器发布。
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公开(公告)号：US11657084B2
公开(公告)日：2023-05-23
申请号：US17107483
申请日：2020-11-30
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Robinson Piramuthu , Vicente Ordonez-Roman , Vignesh Jagadeesh , Wei Di
IPC: G06F16/58 , G06F16/583 , G06F16/53 , G06F16/50 , G06T7/11 , G06T7/10 , G06F16/532 , G06V10/40 , G06V10/46
CPC classification number: G06F16/58 , G06F16/50 , G06F16/53 , G06F16/532 , G06F16/583 , G06F16/5838 , G06F16/5846 , G06F16/5854 , G06F16/5862 , G06T7/10 , G06T7/11 , G06V10/40 , G06V10/462
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.
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公开(公告)号：US11449719B2
公开(公告)日：2022-09-20
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: G06K9/00 , 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.
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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.
Inventor： Mohammadhadi Kiapour , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu
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.
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Patent Agency Ranking
公开(公告)号：US09858492B2
公开(公告)日：2018-01-02
申请号：US14971143
申请日：2015-12-16
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Chen-Yu Lee , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
CPC classification number: G06K9/18 , G06K9/3258 , G06K9/6231 , G06K9/6267 , G06K2009/4666 , G06T11/60
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.
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公开(公告)号：US20170323185A1
公开(公告)日：2017-11-09
申请号：US15661722
申请日：2017-07-27
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Neelakantan Neelakantan
CPC classification number: G06K9/66 , G06F16/24578 , G06F16/532 , G06F16/583 , G06F16/5838 , G06F16/5866 , G06F16/9535 , 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 providing recommendations are disclosed herein. A query image is received via a user interface. An image attribute from the query image is extracted. A determination that a usage condition for an image index is satisfied by the query image based on a comparison of an image attribute of the image index to the image attribute of the query image is performed. In response to the determination that the usage condition for the image index is satisfied by the query image, the image index is selected. Based on the selected image index and the usage condition, a set of item images from a plurality of item images stored in a database that correspond to the selected image index is identified. The identified set of item images are presented at the user interface.
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公开(公告)号：US09721192B2
公开(公告)日：2017-08-01
申请号：US15065122
申请日：2016-03-09
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Neelakantan Sundaresan
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 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.
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公开(公告)号：US09594774B2
公开(公告)日：2017-03-14
申请号：US14994459
申请日：2016-01-13
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Mohammad Haris Baig , Robinson Piramuthu , Vignesh Jagadeesh , Wei Di
CPC classification number: G06T7/50 , G06F17/3025 , G06F17/30256 , G06F17/30262 , G06F17/30277 , G06K9/00208 , G06K9/4609 , G06T7/194 , G06T7/62 , G06T2207/10024 , G06T2207/10028 , G06T2207/20081
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。
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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.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
CPC classification number: G06K9/6277 , G06F17/30259 , G06F17/30265 , G06K9/46 , G06K9/6267 , G06Q30/0201 , G06Q30/0601 , G06Q30/0613
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。
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