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公开(公告)号：US20200311126A1
公开(公告)日：2020-10-01
申请号：US16900362
申请日：2020-06-12
Applicant: A9.com, Inc.
Inventor： Sunil Ramesh , Shruti Sheorey , Colin Jon Taylor
IPC: G06F16/58 , G06F16/2457 , G06Q30/06 , G06F40/134 , G06F16/583
Abstract: Techniques for providing recommended keywords in response to an image-based query are disclosed herein. In particular, various embodiments utilize an image matching service to identify recommended search keywords associated with image data received from a user. The search keywords can be used to perform a keyword search to identify content associated with an image input that may be relevant. For example, an image search query can be received from a user. The image search query may result in multiple different types of content that are associated with the image. The system may present keywords associated with matching images to allow a user to further refine their search and/or find other related products that may not match with the particular image. This enables users to quickly refine a search using keywords that may be difficult to identify otherwise and to find the most relevant content for the user.
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公开(公告)号：US09922052B1
公开(公告)日：2018-03-20
申请号：US13871907
申请日：2013-04-26
Applicant: A9.com, Inc.
Inventor： Adam Wiggen Kraft , Himanshu Arora , Max Delgadillo, Jr. , Sunil Ramesh , Atul Kumar
CPC classification number: G06F17/30277 , G06F17/30743
Abstract: Various embodiments provide a user with a capability to customize multiple image data stores, where each data store can be used to provide content tailored to different users having different interests, setting, or notification demands. For example, users can submit images and modify processing parameters to tune an image matching system to their, or their customer's, individual desires. Accordingly, content can be delivered to a computing device in response to a query image sent by the computing device to a matching system containing the customized image data stores. The delivered content can be related to, or derived from, an image in a respective data store that matches the provided query image.
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公开(公告)号：US09881084B1
公开(公告)日：2018-01-30
申请号：US14313577
申请日：2014-06-24
Applicant: A9.com, Inc.
Inventor： Scott Paul Robertson , Sunil Ramesh
IPC: G06F17/30
CPC classification number: G06F17/30781
Abstract: Various embodiments may obtain an image representation of an object for use in image matching and content retrieval. For example, an image matching system processes video content items to determine one or more scenes for one or more video content items. The image matching system can extract, from at least one video frame for a scene, feature descriptors relating to one or more objects represented in the at least one video frame. The image matching system indexes the feature descriptors into a feature index storing information for each of the feature descriptors and respective corresponding video frame. The image matching system correlates the feature descriptors of the feature index to determine one or more groups having similar feature descriptors. The image matching system indexes the one or more groups into a correlation index storing information for each of the one or more groups and respective corresponding feature descriptors.
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公开(公告)号：US20170262475A1
公开(公告)日：2017-09-14
申请号：US15606812
申请日：2017-05-26
Applicant: A9.com, Inc.
Inventor： Arnab Sanat Kumar Dhua , Himanshu Arora , Sunil Ramesh
CPC classification number: G06F16/5846 , G06F16/00 , G06K9/325 , G06K9/4604 , G06K9/6212 , G06N7/005 , G06T11/60
Abstract: A computing device can determine visual words for images in a first set of images associated with a description that includes a term. Each visual word can describe pixels in an image. The device can determine visual words for images in a second set of images that are associated with a description that does not include the term. The device can determine a set of visual words that are associated with the term. The device can determine regions in images corresponding to visual words in the set of visual words. The device can associate the respective determined regions for the images with the term in a database. When a search query is received that includes an image that is determined to be associated with the term, the database can be utilized to determine images responsive to the query by identifying images that are also associated with the term.
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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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Patent Agency Ranking
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：US09449025B1
公开(公告)日：2016-09-20
申请号：US14800462
申请日：2015-07-15
Applicant: A9.com, Inc.
Inventor： Michael Q. Phung , Arnab S. Dhua , Ketan R. Deshpande , Sunil Ramesh
CPC classification number: G06F17/30256 , G06F17/30047 , G06F17/3005 , G06F17/30277
Abstract: Subjective user-generated data can be utilized to determine visually similar items. Various item descriptors can be determined for a pair of items, which can provide an objective measure of visual aspects of those items, such as how similar those items are in color, style, material, or texture. The ways in which users interact with data for those items, either explicitly or implicitly through user behavior, can provide a level of perceived visual similarity on behalf of these users. The perceived, subjective visual similarity data from the users can be used to adjust a weighting of the various item descriptor factors for a pair of items, or otherwise adjust a visual similarity score, such that items selected as being visually similar more accurately reflect the subjective opinions of the users.
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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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公开(公告)号：US10574974B2
公开(公告)日：2020-02-25
申请号：US14318355
申请日：2014-06-27
Applicant: A9.com, Inc.
Inventor： Himanshu Arora , Arnab Sanat Kumar Dhua , Sunil Ramesh , Chen Fang
IPC: H04N13/282 , H04N13/275 , G06T17/00
Abstract: Various embodiments provide for the generation of 3D models of objects. For example, depth data and color image data can be captured from viewpoints around an object using a sensor. A camera having a higher resolution can simultaneously capture image data of the object. Features between images captured by the image sensor and the camera can be extracted and compared to determine a mapping between the camera and the image. Once the mapping between the camera and the image sensor is determined, a second mapping between adjacent viewpoints can be determined for each image around the object. In this example, each viewpoint overlaps with an adjacent viewpoint and features extracted from two overlapping viewpoints are matched to determine their relative alignment. Accordingly, a 3D point cloud can be generated and the images captured by the camera can be projected on the surface of the 3D point cloud to generate the 3D model.
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公开(公告)号：US10008039B1
公开(公告)日：2018-06-26
申请号：US14957158
申请日：2015-12-02
Applicant: A9.com, Inc.
Inventor： Adam Moshe Neustein , William Brendel , Kaolin Imago Fire , Mark Jay Nitzberg , Sunil Ramesh , Mark Scott Waldo
CPC classification number: G06T19/006 , A41H1/02 , G06F3/011 , G06Q30/0601 , G06Q30/0621 , G06Q30/0641 , G06Q30/0643 , G06T3/0006 , G06T3/005 , G06T7/543 , G06T11/001 , G06T11/60 , G06T2207/30124 , G06T2210/16 , G09G5/14
Abstract: Various approaches discussed herein enable providing a virtual reality experience of trying on clothes by augmenting an image of an article of clothing so that it appears to be worn by a particular person who is represented in a separate image. The image of the person wearing a special article of clothing containing a number of gridlines is analyzed along with an image of the special article of clothing as it appears unworn. The analysis includes calculating differences in the images to determine a change in the position of the gridlines between the images, then used to generate body shape data. The body shape data is used to augment an image of a prospective article of clothing, which modified image is then combined with the image of the person wearing a special article of clothing and displayed.
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