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公开(公告)号：US11810385B2
公开(公告)日：2023-11-07
申请号：US17135315
申请日：2020-12-28
Applicant: Microsoft Technology Licensing, LLC
Inventor： Dongdong Chen , Dengpan Fu , Jingdong Wang , Jianmin Bao
Abstract: A computer-vision method includes recognizing a feature representation of a query image depicting an unknown subject. A similarity score is computed between the representation of the query image and feature representations of a plurality of gallery images collectively depicting two or more different subjects with at least two or more gallery images for each subject, and each gallery image having a label identifying which of the subjects is depicted. One or more updated feature representations of the query image are sequentially iterated based on one or more of the computed similarity scores. For each of the one or more updated feature representations, an updated similarity score is computed between the updated feature representation and the feature representations of each of the gallery images. The unknown subject is identified based on a gallery image having a highest updated similarity score.
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公开(公告)号：US09710493B2
公开(公告)日：2017-07-18
申请号：US13791666
申请日：2013-03-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Jingdong Wang , Qifa Ke , Shipeng Li , Jing Wang
IPC: G06F17/30
CPC classification number: G06F17/30256 , G06F17/30705
Abstract: A set of data points is divided into a plurality of subsets of data points. A set of cluster closures is generated based at least in part on the subset of data points. Each cluster closure envelopes a corresponding cluster of a set of clusters and is comprised of data points of the enveloped cluster and data points neighboring the enveloped cluster. A k-Means approximator iteratively assigns data points to a cluster of the set of clusters and updates a set of cluster centroids corresponding to the set of clusters. The k-Means approximator assigns data points based at least in part on the set of cluster closures.
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公开(公告)号：US10521692B2
公开(公告)日：2019-12-31
申请号：US14324375
申请日：2014-07-07
Applicant: Microsoft Technology Licensing, LLC
Inventor： Jingdong Wang , Xian-Sheng Hua
Abstract: Techniques for intelligent image search results summarization and browsing scheme are described. Images having visual attributes are evaluated for similarities based in part on their visual attributes. At least one preference score indicating a probability of an image to be selected into a summary is calculated for each image. Images are selected based on the similarity of the selected images to the other images and the preference scores of the selected images. A summary of the plurality of images is generated including the selected one individual image.
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公开(公告)号：US12169527B2
公开(公告)日：2024-12-17
申请号：US16910306
申请日：2020-06-24
Applicant: Microsoft Technology Licensing, LLC
Inventor： Mingqin Li , Qi Chen , Jingdong Wang , Zengzhong Li , Jeffrey Song Zhu , Shi Zhang , Nilesh N. Yadav , Han Zhang
IPC: G06F16/951 , G06F16/22 , G06F16/23 , G06F16/27 , G06F16/953
Abstract: System and methods are directed to operations associated with an approximate nearest neighbor search engine. More specifically, a vector semantically representing content to be added to a search index may be received. The search index may include a neighborhood graph having a plurality of nodes, where each node of the plurality of nodes is associated with content in a content repository. A plurality of nodes within the search index determined to be most semantically similar to the received vector semantically representing content to be added to the search index may be identified. The node corresponding to the received vector semantically representing content to be added to the search index to the search index may be added to the search index and a listing of nearest neighbors associated with each of the of the plurality of nodes may be updated to include an identifier associated with the added node.
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