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公开(公告)号：US20150074088A1
公开(公告)日：2015-03-12
申请号：US14337088
申请日：2014-07-21
Applicant: A9.com, Inc.
Inventor： Sunil Ramesh , Arnab Sanat Kumar Dhua , Gurumurthy D. Ramkumar , Gautam Bhargava , Sonja E. Hyde-Moyer
IPC: G06F17/30
CPC classification number: G06F16/5854 , G06K9/4642 , G06K9/66 , G06K2009/4666
Abstract: Shape-based search of a collection of content associated with one or more images of inventory items (“inventory images”) is enabled at least in part by associating the collection of content and/or its associated inventory images with representative refinement shapes. Inventory items may be grouped into categories and at least one refinement shape may be created for each of the categories. A refinement-shape hierarchy may be created by arranging the refinement shapes into parent and child refinement shapes. Inventory images may be associated to at least one of the refinement shapes of the refinement-shape hierarchy based at least in part on similarities between the refinement shapes and shapes of the inventory items reflected in the inventory images.
Abstract translation: 至少部分地通过将内容的收集和/或其关联的库存图像与代表的细化形状相关联来启用与库存项目的一个或多个图像相关联的与内容相关联的内容的基于形状的搜索。 库存项目可以被分组并且可以为每个类别创建至少一个细化形状。 可以通过将细化形状布置成父和子细化形状来创建细化形状层次。 库存图像可以至少部分地基于在库存图像中反映的库存物品的细化形状和形状之间的相似性而与细化形状层级的至少一个细化形状相关联。
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公开(公告)号：US09558213B2
公开(公告)日：2017-01-31
申请号：US14665384
申请日：2015-03-23
Applicant: A9.com, Inc.
Inventor： Sunil Ramesh , Arnab S. Dhua , Supratik Bhattacharyya , Gurumurthy D. Ramkumar , Gautam Bhargava
CPC classification number: G06F17/30259 , G06F17/30256 , G06F17/30864
Abstract: Visual incongruity in search result sets may be reduced at least in part by searching an optimized visually significant subset of a category tree that categorizes a collection of content. The category tree may be optimized at build time at least in part by pruning with respect to visual coherence and by the size of the content collection subset referenced by particular categories. Content collection subset sizes both too large and too small can detract from the visual significance of a particular category. The visually significant subset of the category tree may be further optimized at query time by intersecting the visually significant subset with the query-associated sub-tree(s) and further pruning categories in the visually significant subset that have child categories in the visually significant subset. Searching with respect to the optimized visually significant subset can also improve search efficiency.
Abstract translation: 搜索结果集中的视觉不协调可以至少部分地通过搜索对内容集合进行分类的类别树的优化的视觉上重要的子集来减少。 类别树可以在构建时间至少部分地通过针对视觉一致性的修剪以及由特定类别引用的内容收集子集的大小进行优化。 内容收集子集大小太大和太小可能会降低特定类别的视觉含义。 可以在查询时间通过将视觉上有意义的子集与查询关联的子树相交并在视觉上有意义的子集中进一步修剪在视觉上有意义的子集中具有子类别的视觉上重要子集中的类别，来进一步优化类别树的视觉上重要的子集 。 关于优化的视觉显着子集的搜索也可以提高搜索效率。
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公开(公告)号：US20150242441A1
公开(公告)日：2015-08-27
申请号：US14665384
申请日：2015-03-23
Applicant: A9.com, Inc.
Inventor： Sunil Ramesh , Arnab S. Dhua , Supratik Bhattacharyya , Gurumurthy D. Ramkumar , Gautam Bhargava
IPC: G06F17/30
CPC classification number: G06F17/30259 , G06F17/30256 , G06F17/30864
Abstract: Visual incongruity in search result sets may be reduced at least in part by searching an optimized visually significant subset of a category tree that categorizes a collection of content. The category tree may be optimized at build time at least in part by pruning with respect to visual coherence and by the size of the content collection subset referenced by particular categories. Content collection subset sizes both too large and too small can detract from the visual significance of a particular category. The visually significant subset of the category tree may be further optimized at query time by intersecting the visually significant subset with the query-associated sub-tree(s) and further pruning categories in the visually significant subset that have child categories in the visually significant subset. Searching with respect to the optimized visually significant subset can also improve search efficiency.
Abstract translation: 搜索结果集中的视觉不协调可以至少部分地通过搜索对内容集合进行分类的类别树的优化的视觉上重要的子集来减少。 类别树可以在构建时间至少部分地通过针对视觉一致性的修剪以及由特定类别引用的内容收集子集的大小进行优化。 内容收集子集大小太大和太小可能会降低特定类别的视觉含义。 可以在查询时间通过将视觉上有意义的子集与查询关联的子树相交并在视觉上有意义的子集中进一步修剪在视觉上有意义的子集中具有子类别的视觉上重要子集中的类别，来进一步优化类别树的视觉上重要的子集 。 关于优化的视觉显着子集的搜索也可以提高搜索效率。
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4.发明授权System and method for delivering content to a communication device in a content delivery system 有权用于将内容传送到内容传送系统中的通信设备的系统和方法公开(公告)号：US08825612B1
公开(公告)日：2014-09-02
申请号：US13781550
申请日：2013-02-28
Applicant: A9.com, Inc.
Inventor： Mark Andrew Ruzon , Keshav Menon , Gurumurthy D. Ramkumar , Donald Tanguay , Supratik Bhattacharyya , Gautam Bhargava
CPC classification number: G06F17/30017 , G06F17/30247 , G06F17/30277
Abstract: The present invention relates to a method, system, and a computer program product for delivering content to a communication device, in response to an image sent by the communication device. The received image is matched with a plurality of images, and, when a match is found for the received image, content corresponding to the image is delivered to the communication device. The plurality of images is stored in an image database, and the corresponding content is stored in a content repository. The present invention enables a content provider to automatically update the image database and the content repository without any human intervention.
Abstract translation: 本发明涉及一种用于响应于由通信设备发送的图像将内容传送到通信设备的方法，系统和计算机程序产品。 所接收的图像与多个图像匹配，并且当对于接收到的图像找到匹配时，与图像相对应的内容被传送到通信装置。 多个图像被存储在图像数据库中，并且相应的内容被存储在内容存储库中。 本发明使得内容提供商能够在没有任何人为干预的情况下自动更新图像数据库和内容存储库。
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公开(公告)号：US10032286B2
公开(公告)日：2018-07-24
申请号：US15787545
申请日：2017-10-18
Applicant: A9.com, Inc.
Inventor： Bryan E. Feldman , Nalin Pradeep Senthamil , Arnab Sanat Kumar Dhua , Gurumurthy D. Ramkumar
Abstract: Systems and methods track one or more points between images. A point for tracking may be selected, at least in part, on a determination of how discriminable the point is relative to other points in a region containing the point. A point of an image being tracked may be located in another image by matching a patch containing the point with another patch of the other image. A search for a matching patch may be focused in a region that is determined based at least in part on an estimate of movement of the point between images. Points may be tracked across multiple images. If an ability to track one or more points is lost, information about the points being tracked may be used to relocate the points in another image.
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Patent Agency Ranking
公开(公告)号：US20170116786A1
公开(公告)日：2017-04-27
申请号：US15402016
申请日：2017-01-09
Applicant: A9.com, Inc.
Inventor： Gurumurthy D. Ramkumar , William F. Stasior , Bryan E. Feldman , Arnab S. Dhua , Nalin Pradeep Senthamil
CPC classification number: G06T19/006 , G06F3/011 , G06F3/04842 , G06F15/16 , G06F17/30047 , G06F17/30528 , G06K9/4604 , G06K9/6202 , G06Q30/0643 , G06T19/00 , G06T2210/12
Abstract: Techniques for augmenting an image of an object captured and displayed in real time with associated content are disclosed. In one embodiment, the method for augmenting the image includes receiving information defining a sampled frame of a video being captured by an electronic device in substantially real time, determining information representative of an object captured in the sampled frame based on the received information, causing the determined information to match stored information defining a plurality of items to locate an item matched to the captured object, retrieving content associated with the matched item, and providing the retrieved content for display with the captured image on the electronic device. The retrieved content may be rendered in an overlay element that overlays the captured image displayed on the electronic device. The rendered content is configured to enable a user to interact with the content.
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7.发明授权Method and system for searching for information on a network in response to an image query sent by a user from a mobile communications device 有权响应于用户从移动通信设备发送的图像查询，在网络上搜索信息的方法和系统公开(公告)号：US09104700B1
公开(公告)日：2015-08-11
申请号：US14164904
申请日：2014-01-27
Applicant: A9.com, Inc.
Inventor： Gurumurthy D. Ramkumar , Raghavan Manmatha , Supratik Bhattacharyya , Gautam Bhargava , Mark A. Ruzon
CPC classification number: G06F17/30253 , G06K9/723 , G06K2209/01
Abstract: Present invention relates to a method and system for automatic searching for information on a network in response to an image query sent by a user. The image query includes an image that is captured by using a mobile communications device with a camera. The image is processed to detect the text present in it. The detected text is then recognized using an OCR. Subsequently, the text is searched for matches in the corresponding domain database, selected from the various domain databases present in the network. Thereafter, selected matches and additional related information is sent to the user.
Abstract translation: 本发明涉及一种用于响应于用户发送的图像查询来自动搜索网络上的信息的方法和系统。 图像查询包括通过使用具有相机的移动通信设备捕获的图像。 处理图像以检测其中存在的文本。 然后使用OCR识别检测到的文本。 随后，在相应的域数据库中搜索文本，从网络中存在的各种域数据库中选择匹配。 此后，向用户发送选择的匹配和附加的相关信息。
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公开(公告)号：US08787679B1
公开(公告)日：2014-07-22
申请号：US13913318
申请日：2013-06-07
Applicant: A9.com, Inc.
Inventor： Sunil Ramesh , Arnab Sanat Kumar Dhua , Gurumurthy D. Ramkumar , Gautam Bhargava , Sonja E. Hyde-Moyer
CPC classification number: G06F17/30259 , G06K9/4642 , G06K9/66 , G06K2009/4666
Abstract: Shape-based search of a collection of content associated with one or more images of inventory items (“inventory images”) is enabled at least in part by associating the collection of content and/or its associated inventory images with representative refinement shapes. Inventory items may be grouped into categories and at least one refinement shape may be created for each of the categories. A refinement-shape hierarchy may be created by arranging the refinement shapes into parent and child refinement shapes. Inventory images may be associated to at least one of the refinement shapes of the refinement-shape hierarchy based at least in part on similarities between the refinement shapes and shapes of the inventory items reflected in the inventory images.
Abstract translation: 至少部分地通过将内容的收集和/或其关联的库存图像与代表的细化形状相关联来启用与库存项目的一个或多个图像相关联的与内容相关联的内容的基于形状的搜索。 库存项目可以被分组并且可以为每个类别创建至少一个细化形状。 可以通过将细化形状布置成父和子细化形状来创建细化形状层次。 库存图像可以至少部分地基于在库存图像中反映的库存物品的细化形状和形状之间的相似性而与细化形状层级的至少一个细化形状相关联。
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公开(公告)号：US09911239B2
公开(公告)日：2018-03-06
申请号：US15402016
申请日：2017-01-09
Applicant: A9.com, Inc.
Inventor： Gurumurthy D. Ramkumar , William F. Stasior , Bryan E. Feldman , Arnab S. Dhua , Nalin Pradeep Senthamil
CPC classification number: G06T19/006 , G06F3/011 , G06F3/04842 , G06F15/16 , G06F17/30047 , G06F17/30528 , G06K9/4604 , G06K9/6202 , G06Q30/0643 , G06T19/00 , G06T2210/12
Abstract: Techniques for augmenting an image of an object captured and displayed in real time with associated content are disclosed. In one embodiment, the method for augmenting the image includes receiving information defining a sampled frame of a video being captured by an electronic device in substantially real time, determining information representative of an object captured in the sampled frame based on the received information, causing the determined information to match stored information defining a plurality of items to locate an item matched to the captured object, retrieving content associated with the matched item, and providing the retrieved content for display with the captured image on the electronic device. The retrieved content may be rendered in an overlay element that overlays the captured image displayed on the electronic device. The rendered content is configured to enable a user to interact with the content.
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公开(公告)号：US20180040134A1
公开(公告)日：2018-02-08
申请号：US15787545
申请日：2017-10-18
Applicant: A9.com, Inc.
Inventor： Bryan E. Feldman , Nalin Pradeep Senthamil , Arnab Sanat Kumar Dhua , Gurumurthy D. Ramkumar
CPC classification number: G06T7/248 , G06T7/20 , G06T7/254 , G06T2207/10016
Abstract: Systems and methods track one or more points between images. A point for tracking may be selected, at least in part, on a determination of how discriminable the point is relative to other points in a region containing the point. A point of an image being tracked may be located in another image by matching a patch containing the point with another patch of the other image. A search for a matching patch may be focused in a region that is determined based at least in part on an estimate of movement of the point between images. Points may be tracked across multiple images. If an ability to track one or more points is lost, information about the points being tracked may be used to relocate the points in another image.
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