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公开(公告)号:US12125102B1
公开(公告)日:2024-10-22
申请号:US18132114
申请日:2023-04-07
发明人: Carlos J P Chavez , David Jason Anderson James , Rachel Elizabeth Csabi , Quian Jones , Andrea Marie Richardson
摘要: A method may include receiving image data representative of cash acquired via one or more image sensors, identifying a first currency depicted in the cash based on a plurality of images associated with a plurality of currencies, and determining a currency conversion rate between the first currency and a second currency. The method may also include generating a visualization representative of a currency value of the cash in the second currency based on the currency conversion rate and overlaying the visualization on the image data.
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公开(公告)号:US12086198B2
公开(公告)日:2024-09-10
申请号:US18461049
申请日:2023-09-05
申请人: Google LLC
发明人: Suddha Kalyan Basu , Wei Fan , Daniel Glasner , Sushrut Suresh Karanjkar , Thomas Richard Strohmann , Shubhang Verma , Manas Ashok Pathak , Wenyuan Yin , Sundeep Tirumalareddy
IPC分类号: G06F16/50 , G06F16/538 , G06F16/583 , G06F16/587 , G06F16/9538 , G06N3/02 , G06F16/90
CPC分类号: G06F16/9538 , G06F16/538 , G06F16/583 , G06F16/587 , G06N3/02
摘要: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.
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公开(公告)号:US12067526B2
公开(公告)日:2024-08-20
申请号:US17368915
申请日:2021-07-07
IPC分类号: G06Q10/08 , G06F16/38 , G06F16/50 , G06Q10/087 , G06Q50/22 , G16H30/20 , G16H40/20 , G16H40/40 , G16H40/67 , G16H80/00 , H04L9/40 , H04L67/06 , H04L67/10 , H04L67/1097 , H04N1/00 , H04W12/033
CPC分类号: G06Q10/087 , G06F16/381 , G06F16/50 , G16H30/20 , G16H40/20 , G16H40/40 , G16H40/67 , G16H80/00 , H04L9/40 , H04L67/06 , H04L67/10 , H04L67/1097 , H04N1/00307 , H04W12/033 , H04L63/0428 , H04N2201/0084
摘要: The subject matter described herein includes methods, systems, and computer program products for biological inventory tracking using cloud services and mobile devices. According to one method, information is input from a mobile device about a specimen sample. The information includes an image of the specimen sample captured using the mobile device including an identifying indicia. The information is uploaded and stored in an encrypted format accessible to authorized and verified users. At least one characteristic of the specimen sample is determined based on the information. Tracking and status information, as well as notifications or reminders, regarding the specimen sample are provided in real-time or near real-time to the mobile device.
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公开(公告)号:US12056182B2
公开(公告)日:2024-08-06
申请号:US18121738
申请日:2023-03-15
申请人: Snap Inc.
IPC分类号: G06T5/00 , G06F16/50 , G06F16/538 , G06F16/583 , G06V10/46
CPC分类号: G06F16/5838 , G06F16/50 , G06F16/538 , G06T5/00 , G06V10/46
摘要: Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.
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公开(公告)号:US12050641B2
公开(公告)日:2024-07-30
申请号:US18228328
申请日:2023-07-31
申请人: eBay Inc.
IPC分类号: G06F16/532 , G06F16/50 , G06F16/583 , G06F18/2113 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N3/084 , G06N5/022 , G06N7/01 , G06V10/46 , G06V10/771
CPC分类号: G06F16/532 , G06F16/50 , G06F16/583 , G06F18/2113 , G06F18/2411 , G06F18/2415 , G06N3/044 , G06N3/045 , G06N3/084 , G06N5/022 , G06V10/462 , G06V10/771 , G06N7/01
摘要: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.
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公开(公告)号:US12048574B2
公开(公告)日:2024-07-30
申请号:US18140437
申请日:2023-04-27
申请人: Owl Navigation, Inc.
发明人: Guillermo Sapiro , Noam Harel , Yuval Duchin , Jin Young Kim
IPC分类号: A61B6/50 , A61B5/00 , A61B5/055 , A61B6/00 , A61B6/03 , A61B6/12 , A61B6/46 , A61B34/10 , G06F16/50 , G06F18/25 , G06N5/04 , G06N20/00 , G06T7/00 , G06T7/11 , G06T7/33 , G16H30/20 , G16H50/20
CPC分类号: A61B6/501 , A61B5/055 , A61B6/5217 , A61B6/5294 , G06F16/50 , G06F18/251 , G06N5/04 , G06N20/00 , G06T7/0012 , G06T7/11 , G06T7/337 , G16H30/20 , G16H50/20 , A61B5/0035 , A61B6/032 , A61B6/037 , A61B6/12 , A61B6/469 , A61B6/5247 , A61B6/563 , A61B2034/107 , A61B2576/026 , G06T2207/10081 , G06T2207/10088 , G06T2207/20128 , G06T2207/30016
摘要: A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.
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公开(公告)号:US12041292B2
公开(公告)日:2024-07-16
申请号:US16984786
申请日:2020-08-04
申请人: Rovi Guides, Inc.
IPC分类号: G06F16/438 , G06F16/50 , H04N21/262 , H04N21/278 , H04N21/431 , H04N21/45 , H04N21/482 , H04N21/84
CPC分类号: H04N21/4312 , G06F16/438 , G06F16/50 , H04N21/26283 , H04N21/278 , H04N21/4532 , H04N21/4821 , H04N21/84
摘要: Systems and methods are provided herein for selecting graphics to use as backgrounds of media asset identifiers. To this end, a media guidance application may determine that a media asset identifier is to be generated for display, and may determine whether the user input an explicit preference for a media asset corresponding to the media asset identifier (e.g., the user added the media asset to his watch list). In response to determining that the user input the explicit preference for the media asset corresponding to the media asset identifier, the media guidance application may determine display dimensions of the second media asset identifier, select a graphic that corresponds to the display dimensions, and generate for display the selected graphic as a background graphic of the media asset identifier.
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公开(公告)号:US20240169660A1
公开(公告)日:2024-05-23
申请号:US18424286
申请日:2024-01-26
申请人: NAVVIS GmbH
IPC分类号: G06T15/20 , G01C21/20 , G06F16/332 , G06F16/50 , G06F16/56 , G06F18/22 , G06T3/00 , G06T3/18 , G06T7/50 , G06T7/73 , G06T15/06 , G06T19/00 , G06V20/10
CPC分类号: G06T15/205 , G01C21/206 , G06F16/3328 , G06F16/50 , G06F16/56 , G06F18/22 , G06T3/00 , G06T3/18 , G06T7/50 , G06T7/74 , G06T7/75 , G06T15/06 , G06T15/20 , G06T19/006 , G06V20/10 , G06T2207/30244
摘要: In an embodiment of the invention there is provided a method of visual localization, comprising: generating a plurality of virtual views, wherein each of the virtual views is associated with a location; obtaining a query image; determining the location where the query image was obtained on the basis of a comparison of the query image with said virtual views.
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公开(公告)号:US20240102820A1
公开(公告)日:2024-03-28
申请号:US18531220
申请日:2023-12-06
CPC分类号: G01C21/3664 , G06F16/29 , G06F16/50
摘要: A method comprises receiving a query via a graphical user interface (GUI); running the query against a gazetteer system to obtain one or more geographical coordinates; causing a presentation in the GUI of a digital map including a set of regions corresponding to a set of geographical coordinates from the one or more geographical coordinates; receiving a selection of a region of the set of regions; causing a presentation in the GUI a geotag dialog for an object corresponding to the region, the object being of an object type in an ontology model and having a plurality of properties; receiving via the geotag dialog a selection of a property of the plurality of properties; associating a geotag with the property, the geotag including a geographical coordinate of the one or more geographical coordinates corresponding to the region, wherein the method is performed by one or more processors.
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公开(公告)号:US11941044B2
公开(公告)日:2024-03-26
申请号:US16259822
申请日:2019-01-28
申请人: Walmart Apollo, LLC
IPC分类号: G06F16/56 , G06F16/21 , G06F16/50 , G06F16/535 , G06F16/9535 , G06N3/08
CPC分类号: G06F16/535 , G06F16/214 , G06F16/50 , G06F16/56 , G06F16/9535 , G06N3/08
摘要: A method including training a recurrent neural network model to create a trained model based at least in part on: (a) first images associated with first items on a website, (b) first search terms used by users of the website to search for the first items on the website, and (c) personal features of the users. The method also can include receiving an input image that was uploaded by a current user. The method additionally can include obtaining a user encoded representation vector for the current user based on a set of personal features of the current user. The method further can include generating an image encoded representation vector for the input image. The method additionally can include deriving search terms that are personalized to the current user for the one or more items depicted in the input image, using the trained model and based on the user encoded representation vector for the current user and the image encoded representation vector for the input image. Other embodiments are disclosed.
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