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公开(公告)号:US20230412757A1
公开(公告)日:2023-12-21
申请号:US18238244
申请日:2023-08-25
CPC分类号: H04N5/272 , H04N5/44504 , G06F16/51 , G06F16/54 , G06F16/71 , H04N21/47 , H04N21/42204 , H04N21/4222 , H04N21/42208 , H04N21/42224
摘要: An entertainment device provides multiple users with the ability to simultaneously select and include various audio files in a transmission provided to a television from a cable box, antenna, video streaming device, or other audio supply device for personal entertainment purposes. The audio files can be provided in real-time or substantially in real-time, such as with minimal delay and can be combined with or replace the audio input signal. The entertainment device may further provide the ability to overlay video onto a video input signal supplied with the audio input signal. The entertainment device may be provided, for instance, as a stand-alone unit, or may be integrated into a cable box or other video supply device (i.e., dvd player, blu-ray player, cell phone, tablet, computer, streaming device, etc.).
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32.
公开(公告)号:US11823059B2
公开(公告)日:2023-11-21
申请号:US17377043
申请日:2021-07-15
发明人: Chen Fang , Zhaowen Wang , Wangcheng Kang , Julian McAuley
摘要: The present disclosure relates to a fashion recommendation system that employs a task-guided learning framework to jointly train a visually-aware personalized preference ranking network. In addition, the fashion recommendation system employs implicit feedback and generated user-based triplets to learn variances in the user's fashion preferences for items with which the user has not yet interacted. In particular, the fashion recommendation system uses triplets generated from implicit user data to jointly train a Siamese convolutional neural network and a personalized ranking model, which together produce a user preference predictor that determines personalized fashion recommendations for a user.
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公开(公告)号:US11803673B2
公开(公告)日:2023-10-31
申请号:US18050676
申请日:2022-10-28
申请人: Korrus, Inc.
发明人: Benjamin James Harrison , Shruti Koparkar , Mark Reynoso , Paul Pickard , Raghuram L. V. Petluri , Gary Vick , Andrew Villegas
IPC分类号: G05F1/00 , H05B37/02 , H05B39/04 , H05B41/36 , G06F30/13 , G06T7/55 , G06T7/73 , G06F16/51 , G06N20/00 , G06N5/04 , G06F30/20 , G06T15/50 , G16H50/20 , H05B47/105 , H05B47/175 , H05B45/20 , H05B47/11 , G06T19/00 , G06T7/00 , G06T15/08 , G06T7/90 , G06T15/10 , G06T19/20 , G06F16/583 , G06F16/953 , H05B45/10 , G05B13/02 , F21V21/15 , G06F3/01 , G06N5/047 , G06F18/22 , H04N23/80 , H04N23/90 , G06V10/75 , G06N3/04 , G06F3/04847
CPC分类号: G06F30/13 , F21V21/15 , G05B13/0265 , G06F3/011 , G06F16/51 , G06F16/5854 , G06F16/953 , G06F18/22 , G06F30/20 , G06N5/04 , G06N5/047 , G06N20/00 , G06T7/55 , G06T7/73 , G06T7/90 , G06T7/97 , G06T15/08 , G06T15/10 , G06T15/50 , G06T15/506 , G06T19/006 , G06T19/20 , G06V10/751 , G16H50/20 , H04N23/80 , H04N23/90 , H05B45/10 , H05B45/20 , H05B47/105 , H05B47/11 , H05B47/175 , G06F3/04847 , G06N3/0409 , G06T2200/24 , G06T2207/20081 , G06T2210/04 , G06T2210/56 , G06T2215/12 , G06T2215/16 , G06T2219/2012 , G06T2219/2024
摘要: A platform for design of a lighting installation generally includes an automated search engine for retrieving and storing a plurality of lighting objects in a lighting object library and a lighting design environment providing a visual representation of a lighting space containing lighting space objects and lighting objects. The visual representation is based on properties of the lighting space objects and lighting objects obtained from the lighting object library. A plurality of aesthetic filters is configured to permit a designer in a design environment to adjust parameters of the plurality of lighting objects handled in the design environment to provide a desired collective lighting effect using the plurality of lighting objects.
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公开(公告)号:US20230342387A1
公开(公告)日:2023-10-26
申请号:US17781891
申请日:2020-11-25
发明人: Daisuke Funamoto , Ryogo Ito , Yukio Isobe
CPC分类号: G06F16/51 , G06F16/116
摘要: The present technology relates to a data processing device, a data processing method, and a program that are enabled to easily perform simultaneous generation of a plurality of files in which file streams having different data formats are stored.
From an identical image, file data is generated that is obtained by encoding the image and to be stored in each of a plurality of files. First file data stored in one file of the plurality of files and second file data stored in another one file are data different from each other in at least one of codec, chroma format, or bit depth. The present technology can be applied to generation of a plurality of files having the same image content.-
35.
公开(公告)号:US11799905B2
公开(公告)日:2023-10-24
申请号:US16831009
申请日:2020-03-26
申请人: Proofpoint, Inc.
发明人: Brian Sanford Jones , Zachary Mitchell Abzug , Jeremy Thomas Jordan , Giorgi Kvernadze , Dallan Quass
IPC分类号: H04L9/40 , G06F16/955 , G06N20/10 , G06F21/56 , G06N3/08 , G06F16/51 , G06N20/00 , G06F18/213 , G06F18/21
CPC分类号: H04L63/1483 , G06F16/51 , G06F16/9566 , G06F18/213 , G06F18/217 , G06F21/56 , G06N3/08 , G06N20/00 , G06N20/10 , H04L63/1408 , H04L63/1416 , H04L63/1441 , G06V2201/09
摘要: Aspects of the disclosure relate to detecting and identifying malicious sites using machine learning. A computing platform may receive image data of a graphical rendering of a resource available at a uniform resource locator (URL). The computing platform may compute a computer vision vector representation of the image data. The computing platform may compare the computer vision vector representation of the image data to stored numeric vectors representing page elements, resulting in a feature indicating whether the computer vision vector representation of the image data is visually similar to a known page element, and may input the feature to a classifier. The computing platform may receive, from the classifier, a phish classification score indicating a likelihood that the URL is malicious. In response to determining that the phish classification score exceeds a first phish classification threshold, the computing platform may cause a cybersecurity server to perform a first action.
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公开(公告)号:US11798662B2
公开(公告)日:2023-10-24
申请号:US16978000
申请日:2019-03-05
发明人: Alistair Cumming , Luan Duong Minh Lam , Christopher McCarthy , Michelle Dunn , Luke Gavin , Samar Kattan , Antony Tang
IPC分类号: G06T7/00 , G16H10/40 , G06T7/194 , G06T7/11 , G06T7/73 , G16H30/40 , G06F16/51 , G06V20/69 , G06F18/214 , G06F18/40 , G06V10/94 , G06N20/00
CPC分类号: G16H10/40 , G06F16/51 , G06F18/2148 , G06F18/40 , G06T7/0012 , G06T7/11 , G06T7/194 , G06T7/73 , G06V10/945 , G06V20/695 , G06V20/698 , G16H30/40 , G06N20/00 , G06T2207/10056 , G06T2207/20021 , G06T2207/20081 , G06T2207/20092 , G06T2207/20132 , G06T2207/30004
摘要: The present invention relates generally to the field of computer-based image recognition. More particularly, the invention relates to methods and systems for the identification, and optionally the quantitation of, discrete objects of biological origin such as cells, cytoplasmic structures, parasites, parasite ova, and the like which are typically the subject of microscopic analysis. The invention may be embodied in the form of a method for training a computer to identify a target biological material in a sample. The method may include accessing a plurality of training images, the training images being obtained by light microscopy of one or more samples containing a target biological material and optionally a non-target biological material. The training images are cropped by a human or a computer to produce cropped images, each of which shows predominantly the target biological material. A human then identifies the target biological material in each of the cropped images where identification is possible, and associating an identification label with each of the cropped images where identification was possible. A computer-implemented feature extraction method is then applied to each labelled cropped image. A computer-implemented learning method is then applied to each labelled cropped image to associate extracted features of abiological material with a target biological material.
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公开(公告)号:US11798275B2
公开(公告)日:2023-10-24
申请号:US17222889
申请日:2021-04-05
申请人: M-FARMS GMBH
发明人: Christian Schlemmer
CPC分类号: G06V20/20 , G06F16/51 , G06F18/00 , G06F18/22 , A01M7/0089 , G06V20/68 , G06V2201/10 , H04M1/0202
摘要: The disclosure relates to a system for automatic recognition of plants, including a central server unit, a network, an automatic picture processing unit, a plant database unit, in which plant data are stored, a picture database unit, in which picture data related to plants are stored, and with a mobile device with a camera, the camera of the mobile device configured to provide picture data of a plant and the picture data transmitted via the network to the server unit, the automatic picture processing unit together with the plant database unit and the picture database unit on the basis of the transmitted picture data is configured to perform a comparison with data in the plant database unit and the picture database unit and the transmitted picture data of the plant such, that the plant is defined and the definition is transmitted back to the mobile device.
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公开(公告)号:US11798243B2
公开(公告)日:2023-10-24
申请号:US17948813
申请日:2022-09-20
申请人: Snap Inc.
发明人: Piers Cowburn , Isac Andreas Müller Sandvik , Qi Pan , David Li
IPC分类号: G06T7/00 , G06T19/00 , G06T19/20 , G06F16/51 , G06F16/54 , H04L51/224 , H04L67/51 , H04L67/01
CPC分类号: G06T19/006 , G06F16/51 , G06F16/54 , G06T7/97 , G06T19/20 , H04L51/224 , H04L67/51 , G06T2219/024 , H04L67/01
摘要: A crowd-sourced modeling system to perform operations that include: receiving image data that comprises image attributes; accessing a 3D model based on at least the image attributes of the image data, wherein the 3D model comprises a plurality of parts that collectively depict an object or environment; identifying a change in the object or environment based on a comparison of the image data with the plurality of parts of the 3D model, the change corresponding to a part of the 3D model from among the plurality of parts; and generating an update to the part of the 3D model based on the image attributes of the image data.
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公开(公告)号:US11798137B2
公开(公告)日:2023-10-24
申请号:US18115463
申请日:2023-02-28
申请人: Privowny, Inc.
发明人: Herve Le Jouan
CPC分类号: G06T5/002 , G06F16/51 , G06T11/60 , G06V40/16 , G06V2201/10
摘要: A system comprises a picture and metadata captured by a content capture system; a recognizable characteristic datastore configured to store recognizable characteristics of different users; a module configured to identify a time and a location associated with the picture based on the metadata, and to identify one or more potential target systems within a predetermined range of the location at the time; a characteristic recognition module configured to retrieve the recognizable characteristics of one or more potential users associated with the potential target systems, and evaluate whether the picture includes one or more representations of at least one actual target user from the potential users based on the recognizable characteristics of the potential users; a distortion module configured to distort a feature of the representations of the least one actual target user in response to the determination; a communication module configured to communicate the distorted picture to a computer network.
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40.
公开(公告)号:US11790677B2
公开(公告)日:2023-10-17
申请号:US17060106
申请日:2020-10-01
发明人: Sujatha Balaji
IPC分类号: G06V30/148 , G06F16/13 , G06F16/51 , G06V40/16 , G06V30/12
CPC分类号: G06V30/158 , G06F16/13 , G06F16/51 , G06V30/133 , G06V40/172
摘要: A system is provided for a distributed server network with embedded image decoder as a chain code program runtime event. In particular, the system may comprise a distributed computing network comprising one or more decentralized nodes, each of which may store a separate copy of a distributed data register. The system may further comprise one or more specialized nodes which receive, assess, and analyze user input data, where the one or more specialized nodes may include a client identity node comprising an embedded image decoder which may be configured to analyze image portions of the user input data. Once the image data has been analyzed, the client identity node may convert the image data into a text format for storage within the distributed register.
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