公开(公告)号：US20230205753A1

公开(公告)日：2023-06-29

申请号：US17564686

申请日：2021-12-29

Applicant: Lyft, Inc.

Inventor： Jason Noah Laska ,  Han Suk Kim ,  Matthew Jonathan Feldman ,  Artur Dryomov ,  Lev Dragunov ,  Yakau Bubnou ,  Yanina Michukova ,  Oleg Shnitko ,  Stanislau Binko ,  Siddharth Vijayakrishnan ,  Mark Edward Huberty ,  Kathryn Flaherty Frisbie ,  Mikhail Viktorovich Chuikin ,  Dzmitry Kavaliou

IPC: G06F16/23 ,  G06V20/54 ,  G06F16/29 ,  H04N7/18 ,  G01C21/00

CPC classification number: G06F16/2365 ,  G06V20/54 ,  G06F16/29 ,  H04N7/183 ,  G01C21/3837 ,  G06V2201/10

Abstract: Examples disclosed herein involve a computing system configured to (i) receive, from an image-capture device, image-capture metadata that provides information about a set of images that were passively captured by the image-capture device, (ii) based at least on the received image-capture metadata, apply a collection policy for determining whether to collect any of the set of images that have been passively captured by the image-capture device and thereby determine that a selected subset of one or more images in the set of images are to be collected from the image-capture device, (iii) instruct the image-capture device to upload the selected subset of one or more images, and (iv) after instructing the image-capture device to upload the selected subset of one or more images, receive the selected subset of one or more images from the image-capture device.

公开(公告)号：US11688171B2

公开(公告)日：2023-06-27

申请号：US17326940

申请日：2021-05-21

Applicant: Intel Corporation

Inventor： Marcos Emanuel Carranza ,  Lakshmi N. Talluru ,  Cesar I. Martinez Spessot ,  Mateo Guzman ,  Sebastian M. Salomon ,  Mats G. Agerstam

IPC: G06V20/52 ,  G06T7/292 ,  G06T7/50 ,  G06V20/62 ,  G06V40/16 ,  G06V10/10

CPC classification number: G06V20/52 ,  G06T7/292 ,  G06T7/50 ,  G06V20/62 ,  G06V40/161 ,  G06V40/172 ,  G06T2207/10016 ,  G06T2207/30196 ,  G06T2207/30232 ,  G06T2207/30241 ,  G06V10/16 ,  G06V2201/10

Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of cameras. The processor is to obtain metadata associated with an initial state of an object, wherein the object is captured by a first camera in a first video stream at a first point in time, and wherein the metadata is obtained based on the first video stream. The processor is further to predict, based on the metadata, a future state of the object at a second point in time, and identify a second camera for capturing the object at the second point in time. The processor is further to configure the second camera to capture the object in a second video stream at the second point in time, wherein the second camera is configured to capture the object based on the future state of the object.

公开(公告)号：US11688021B2

公开(公告)日：2023-06-27

申请号：US16733044

申请日：2020-01-02

Applicant: Meta Platforms Technologies, LLC

Inventor： Francislav P. Penov ,  Eric Xiao ,  Honglei Liu ,  Lisa Xiaoyi Huang ,  Xiaohu Liu

IPC: G06F15/16 ,  G06F40/30 ,  G06F9/54 ,  G06F40/205 ,  G06F40/242 ,  G06N3/04 ,  G06N3/08 ,  G06F16/9536 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L15/32 ,  G06F40/253 ,  G06N20/00 ,  G06F3/01 ,  G06Q50/00 ,  G06F16/9032 ,  G06F9/48 ,  G10L15/08 ,  H04N7/14 ,  H04L67/306 ,  G06V10/20 ,  G06V20/20 ,  G06V20/30 ,  G06V20/40 ,  G06V40/16 ,  H04L51/52 ,  H04L51/212 ,  H04L67/75 ,  G06F9/451 ,  G06F16/332 ,  G06F40/35 ,  G06K9/62 ,  G10L15/06 ,  G10L15/16 ,  G06F3/16

CPC classification number: G06F40/30 ,  G06F3/011 ,  G06F3/013 ,  G06F9/453 ,  G06F9/485 ,  G06F9/4881 ,  G06F9/547 ,  G06F16/3329 ,  G06F16/90332 ,  G06F16/9536 ,  G06F40/205 ,  G06F40/242 ,  G06F40/253 ,  G06F40/35 ,  G06K9/6221 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/08 ,  G06N20/00 ,  G06Q50/01 ,  G06V10/255 ,  G06V20/20 ,  G06V20/30 ,  G06V20/41 ,  G06V40/174 ,  G10L15/063 ,  G10L15/08 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/1822 ,  G10L15/22 ,  G10L15/30 ,  G10L15/32 ,  H04L51/212 ,  H04L51/52 ,  H04L67/306 ,  H04L67/75 ,  H04N7/147 ,  G06F3/017 ,  G06F3/167 ,  G06V2201/10 ,  G10L2015/088 ,  G10L2015/223 ,  G10L2015/227

Abstract: In one embodiment, a method includes maintaining a reminder store comprising one or more reminders for a first user, wherein each reminder is associated with an initial activation-condition, determining a context associated with the first user based on signals from a client system associated with the first user, determining a suppression-condition associated with at least one of the reminders is met based on the context, and suppressing the at least one reminder for the first user.

公开(公告)号：US11683453B2

公开(公告)日：2023-06-20

申请号：US16991770

申请日：2020-08-12

Applicant: NVIDIA Corporation

Inventor： Milind Naphade ,  Parthasarathy Sriram ,  Farzin Aghdasi ,  Shuo Wang

IPC: H04N7/18 ,  G11B27/30 ,  G11B27/34 ,  G06V20/40

CPC classification number: H04N7/183 ,  G06V20/46 ,  G11B27/3081 ,  G11B27/34 ,  G06V2201/10

Abstract: In various examples, cloud computing systems may store frames of video streams and metadata generated from the frames in separate data stores, with each type of data being indexed using shared timestamps. Thus, the frames of a video stream may be stored and/or processed and corresponding metadata of the frames may be stored and/or generated across any number of devices of the cloud computing system (e.g., edge and/or core devices) while being linked by the timestamps. A client device may provide a request or query to dynamically annotate the video stream using a particular subset of the metadata. In processing the request or query, the timestamps may be used to retrieve video data representing frames of the video stream and metadata extracted from those frames across the data stores. The retrieved metadata and video data may be used to annotate the frames for display on the client device.

公开(公告)号：US11682025B2

公开(公告)日：2023-06-20

申请号：US17359050

申请日：2021-06-25

Applicant: Digipraise LLC

Inventor： Alison Heiss McLaney

IPC: G06Q30/018 ,  G06Q30/02 ,  G06Q20/36 ,  G06Q20/38 ,  G06Q40/08 ,  G06F16/28 ,  G06N20/00 ,  H04L67/01 ,  H04L67/52 ,  G06V20/62

CPC classification number: G06Q30/0185 ,  G06F16/285 ,  G06N20/00 ,  G06Q20/3674 ,  G06Q20/389 ,  G06Q30/0278 ,  G06Q40/08 ,  H04L67/01 ,  H04L67/52 ,  G06V20/62 ,  G06V2201/10

Abstract: Systems and methods are disclosed for providing a virtual updated appraisal of a valuable asset without an onsite inspection. The appraisal system may provide attestation of the integrity of the updated appraisal generated by verifying the asset through video and image capture transmissions and geolocation data extracted from the transmissions. The updated appraisal may be configured as self-authenticating and recorded in a transaction on a blockchain, accessible via a QR code image. The updated appraisal may be stored in a blockchain wallet and configured as a non-fungible token. The geolocation data can enables the appraisal system to verify the integrity of the submission and thereby reduces the chance of fraud. In this way, updated appraisals generated by the system can increase confidence for insurance companies as to the authenticity and accuracy of the updated appraisal.

公开(公告)号：US20230169107A1

公开(公告)日：2023-06-01

申请号：US17917135

申请日：2021-03-23

Applicant: CANON KABUSHIKI KAISHA

Inventor： Hervé RUELLAN ,  Franck DENOUAL ,  Frédéric MAZE ,  Masanori FUKADA

IPC: G06F16/51 ,  G06V20/70 ,  G06T7/60 ,  G06V10/22

CPC classification number: G06F16/51 ,  G06T7/60 ,  G06V10/22 ,  G06V20/70 ,  G06V2201/10

Abstract: A method of encapsulating image items in a file, the method comprising for an image item: generating an item portion annotation data structure related to a portion of the image item, the item portion annotation data structure being associated with the image item; generating a geometry data structure describing the geometry of the portion of the image item associated with the item portion annotation data structure; generating at least one annotation data structure associated with the item portion annotation data structure; and embedding the image item, the item portion annotation data structure, the geometry data structure and the at least one annotation data structure in the file.

公开(公告)号：US20230153396A1

公开(公告)日：2023-05-18

申请号：US18151268

申请日：2023-01-06

Applicant: Snap Inc.

Inventor： Zehao Xue ,  Zhou Ren

IPC: G06F18/40 ,  G06N20/00 ,  G06F18/214

CPC classification number: G06F18/40 ,  G06N20/00 ,  G06F18/214 ,  G06V2201/10 ,  G06V20/68

Abstract: Systems and methods are provided for analyzing, by a computing device, location data associated with a location of the computing device to determine that an image or video captured using a messaging application on the computing device is captured near a food-related venue or event, receiving input related to food associated with the food-related venue or event, sending the image or video and the input related to food associated with the food-related venue or event to a computing system to train a machine learning model for food detection, and updating the messaging application to comprise the trained machine learning model for food detection.

公开(公告)号：US12131578B2

公开(公告)日：2024-10-29

申请号：US18170239

申请日：2023-02-16

Applicant: Angel Group Co., Ltd.

Inventor： Louis Quinn ,  Duc Dinh Minh Vo ,  Nhat Vo ,  Subhash Challa

IPC: G06T7/10 ,  G06T7/73 ,  G06V10/82 ,  G06V20/40 ,  G06V20/52 ,  G06V20/60 ,  G06V40/10 ,  G06V40/16 ,  G07F17/32 ,  H04N7/18

CPC classification number: G06V40/161 ,  G06T7/10 ,  G06T7/73 ,  G06T7/75 ,  G06V10/82 ,  G06V20/42 ,  G06V20/52 ,  G06V20/60 ,  G06V40/103 ,  G06V40/171 ,  G07F17/3206 ,  G07F17/3223 ,  G07F17/3234 ,  G07F17/3237 ,  G07F17/3239 ,  G07F17/3241 ,  H04N7/183 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06T2207/30232 ,  G06V2201/10 ,  G07F17/322

Abstract: Embodiments relate to systems, methods and computer readable media for gaming monitoring. In particular, embodiments process images to determine presence of a gaming object on a gaming table in the images. Embodiments estimate postures of one or more players in the images and based on the estimated postures determine a target player associated with the gaming object among the one or more players.

公开(公告)号：US20240355107A1

公开(公告)日：2024-10-24

申请号：US18684883

申请日：2021-08-23

Applicant: Google LLC

Inventor： Orly Liba ,  Michael Garth Milne ,  Navin Padman Sarma ,  Doron Kukliansky ,  Huizhong Chen ,  Yael Pritch Knaan

IPC: G06V10/82 ,  G06T5/60 ,  G06V10/46

CPC classification number: G06V10/82 ,  G06T5/60 ,  G06V10/462 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06V2201/07 ,  G06V2201/10

Abstract: A method includes receiving training data comprising a plurality of images. one or more identified objects in each of the plurality of images. and a detection score associated with each of the one or more identified objects. wherein the detection score for an object is indicative of a degree to which a portion of an image corresponds to the object. The method also includes training a neural network based on the training data to predict a distractor score for at least one object of the one or more identified objects in an input image, wherein the at least one object is selected based on an associated detection score, and wherein the distractor score for the at least one object is indicative of a perceived visual distraction caused by a presence of the at least one object in the input image. The method additionally includes outputting the trained neural network.

公开(公告)号：US20240331429A1

公开(公告)日：2024-10-03

申请号：US18620525

申请日：2024-03-28

Applicant: Certinal Software Private Limited

Inventor： Krishnendu Chattopadhyaya

IPC: G06V30/32 ,  G06Q50/18 ,  G06V30/19

CPC classification number: G06V30/36 ,  G06Q50/18 ,  G06V30/19107 ,  G06V30/1916 ,  G06V2201/10

Abstract: A system (1) and method for auto-grouping and bulk signing of pre-approved documents (9a), wherein an admin (2) enables the workflow (10) options, a sender (3) sends a pre-approved document (9a) to be signed, using an input device (6) where a signer (4) employs a workflow (10) from an e-signature feature (15), through a processing means (7) and sends the signed documents (9b) to a recipient (5) using an output device (8), and the pre-approved documents (9a) are grouped using the metadata (14) and the signed documents (9b) are stored in at least one hosting server (16), so as to facilitate the auto-grouping, and individual as well as bulk signing of the pre-approved documents (9a) within the same group, using an e-signature feature of the present system (1) by following the defined that enables applying individual signature and bulk signature respectively, to the pre-approved documents (9a).