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公开(公告)号：US10083521B1
公开(公告)日：2018-09-25
申请号：US14959968
申请日：2015-12-04
Applicant: A9.com, Inc.
Inventor： Arnab Sanat Kumar Dhua , Gautam Bhargava , Ketan Ramesh Deshpande , Ming Du , Aishwarya Natesh , Dheeraj Soti , Colin Jon Taylor
CPC classification number: G06Q30/0631 , G06K9/4652 , G06Q30/0603 , G06T2210/16
Abstract: Approaches attempt to determine information that can help to produce more useful recommendations to be displayed in a situation where no, or little, information is available that indicates a relationship between content provided through an electronic marketplace or other content provider. For example, data available that relates to an item in a product catalog, for example color data, can be analyzed and aggregated in order to attempt to locate other items that are related and relevant to the item, at least as it relates to color and categorization of the content. Such approaches can include, for example, analyzing images, articles, and other sources of electronic content to attempt to locate items that might be relevant to the item of interest. In a clothing example, this can include accessory items that might be worn with an apparel item of interest, match the apparel item of interest, be frequently utilized or exhibited with the apparel item of interest, include a matching and/or complementary color to the apparel item of interest, etc.
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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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3.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：US20160358015A1
公开(公告)日：2016-12-08
申请号：US15238413
申请日：2016-08-16
Applicant: A9.com, Inc.
Inventor： Arnab Sanat Kumar Dhua , Gautam Bhargava , Douglas Ryan Gray , Sunil Ramesh , Colin Jon Taylor
IPC: G06K9/00
CPC classification number: G06K9/00288 , G06F16/784 , G06K9/00221 , G06K9/00228 , G06K9/00261 , G06K9/00711
Abstract: Disclosed are various embodiments for detection of cast members in video content such as movies, television shows, and other programs. Data indicating cast members who appear in a video program is obtained. Each cast member is associated with a reference image depicting a face of the cast member. A frame is obtained from the video program, and a face is detected in the frame. The frame can correspond to a scene in the video program. The detected face in the frame is recognized as being a particular cast member based at least in part on the reference image depicting the cast member. An association between the cast member and the frame is generated in response to the detected face in the frame being recognized as the cast member.
Abstract translation: 公开了用于在诸如电影，电视节目和其他节目的视频内容中检测演员的各种实施例。 获取表示出现在视频节目中的演员的数据。 每个铸造构件与描绘铸件的表面的参考图像相关联。 从视频节目获得帧，并且在帧中检测到一个脸部。 该帧可以对应于视频节目中的场景。 至少部分地基于描绘铸件的参考图像将框架中检测到的面部识别为特定铸件。 响应于被识别为铸件的框架中检测到的面而产生铸造构件和框架之间的关联。
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Patent Agency Ranking
公开(公告)号：US09342930B1
公开(公告)日：2016-05-17
申请号：US13750940
申请日：2013-01-25
Applicant: A9.com, Inc.
Inventor： Adam Wiggen Kraft , Gautam Bhargava
CPC classification number: G06T19/006 , G06F1/1643 , G06F1/1686 , G06F1/1694 , G06F3/013 , G06F3/04842 , G06F3/0487 , G06F3/0488 , G06F3/147 , G06F17/30 , G06F2203/04806 , G06Q30/0261 , G06Q30/0267 , G06Q30/0271 , G06T11/60 , G06T19/00 , G09G5/14
Abstract: An image or video of a location can be captured using an electronic device. A physical location associated with the image or video can be determined by analyzing the image data, and information about the physical location can be presented to a user of the electronic device. Images or video may include multiple locations, and information about each of the multiple locations can be presented to the user or a single location can be automatically determined and information about the single location can be displayed. Data from other sensors of the electronic device, such as GPS, digital compasses, accelerometers, gyroscopes, barometers, or altimeters, can also be acquired and combined with image analysis to determine a location. The information presented to the user regarding the recognized location may be based on user preferences or user behavior of the specific user of the electronic device, or a community of users who share demographic traits with the specific user.
Abstract translation: 可以使用电子设备捕获位置的图像或视频。 可以通过分析图像数据来确定与图像或视频相关联的物理位置，并且可以向电子设备的用户呈现关于物理位置的信息。 图像或视频可以包括多个位置，并且关于每个多个位置的信息可以呈现给用户，或者可以自动确定单个位置，并且可以显示关于单个位置的信息。 还可以获取电子设备的其他传感器（例如GPS，数字罗盘，加速度计，陀螺仪，气压计或高度计）的数据并与图像分析相结合以确定位置。 向用户提供关于识别的位置的信息可以基于电子设备的特定用户或与特定用户共享人口特征的用户社区的用户偏好或用户行为。
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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：US09449216B1
公开(公告)日：2016-09-20
申请号：US13860347
申请日：2013-04-10
Applicant: A9.com, Inc.
Inventor： Arnab Sanat Kumar Dhua , Gautam Bhargava , Douglas Ryan Gray , Sunil Ramesh , Colin Jon Taylor
CPC classification number: G06K9/00288 , G06F17/30793 , G06K9/00221 , G06K9/00228 , G06K9/00261 , G06K9/00711
Abstract: Disclosed are various embodiments for detection of cast members in video content such as movies, television shows, and other programs. Data indicating cast members who appear in a video program is obtained. Each cast member is associated with a reference image depicting a face of the cast member. A frame is obtained from the video program, and a face is detected in the frame. The detected face in the frame is recognized as being a particular cast member based at least in part on the reference image depicting the cast member. An association between the cast member and the frame is generated in response to the detected face in the frame being recognized as the cast member.
Abstract translation: 公开了用于在诸如电影，电视节目和其他节目的视频内容中检测演员的各种实施例。 获取表示出现在视频节目中的演员的数据。 每个铸造构件与描绘铸件的表面的参考图像相关联。 从视频节目获得帧，并且在帧中检测到一个脸部。 至少部分地基于描绘铸件的参考图像将框架中检测到的面部识别为特定铸件。 响应于被识别为铸件的框架中检测到的面而产生铸造构件和框架之间的关联。
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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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10.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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