公开(公告)号：US11769312B1

公开(公告)日：2023-09-26

申请号：US18177849

申请日：2023-03-03

Applicant: Roku, Inc.

Inventor： Sunil Ramesh ,  Michael Cutter ,  Karina Levitian

IPC: G06T19/20 ,  G06V20/40 ,  G06V10/70 ,  G06T15/50 ,  G06T15/10

CPC classification number: G06T19/20 ,  G06T15/10 ,  G06T15/503 ,  G06V10/70 ,  G06V20/41 ,  G06T2219/2016 ,  G06V2201/10

Abstract: In one aspect, an example method includes (i) obtaining video that depicts an area across multiple frames of the video, wherein the area is part of a scene of the video, and wherein the area is suitable for having an object inserted therein; (ii) detecting the area within the obtained video and determining area characteristic data associated with the detected area; (iii) determining scene attribute data associated with the scene; (iv) using at least the determined area characteristic data and the determined scene attribute data as a basis to select an object from among a set of multiple candidate objects; (v) inserting into the detected area the selected object to generate video that is a modified version of the obtained video; and (vi) outputting for presentation the generated video.

公开(公告)号：US11766223B1

公开(公告)日：2023-09-26

申请号：US18050782

申请日：2022-10-28

Applicant: TOKU EYES LIMITED

Inventor： Seyed Ehsan Vaghefi Rezaei ,  David Squirrell ,  Song Yang ,  Songyang An ,  Li Xie

IPC: G06K9/00 ,  A61B5/00 ,  A61B3/12 ,  G06V10/40 ,  G06T7/00

CPC classification number: A61B5/7275 ,  A61B3/12 ,  A61B5/486 ,  A61B5/7221 ,  A61B5/7246 ,  A61B5/7264 ,  G06T7/0014 ,  G06V10/40 ,  G06T2207/10024 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06V2201/10

Abstract: Systems and methods for predicting a risk of cardiovascular disease (CVD) from one or more fundus images are disclosed. Fundus images associated with an individual are processed to determine whether fundus images are of sufficient quality. The fundus images of sufficient quality are processed to identify fundus images belonging to a single eye. A plurality of risk contributing factor sets of CNNs (RCF CNN) are configured to output an indicator of probability of the presence of a different risk contributing factor in each of the one or more fundus images. At least one of the RCF CNNs is configured in a jury system model having a plurality of jury member CNNs, each being configured to output a probability of a different feature in the one or more fundus images. The outputs of the jury member CNNs are processed to determine the indicator of probability of the presence of the risk contributing factor output by the RCF CNN. An individual feature vector is produced based on meta-information for the individual, and the outputs of the RCF CNNs. The individual feature vector is processed using a CVD risk prediction neural network model to output a prediction of overall CVD risk for the individual. The model is configured to determine a relative contribution of each of the risk contributing factors to the prediction of overall CVD risk. The overall CVD risk is reported, together with the relative contribution of each of the risk contributing factors to the overall CVD risk.

公开(公告)号：US20230274481A1

公开(公告)日：2023-08-31

申请号：US18175945

申请日：2023-02-28

Applicant: StoryFile, Inc.

Inventor： Samuel Michael Gustman ,  Andrew Victor Jones ,  Michael Glenn Harless ,  Stephen David Smith ,  Heather Lynn Smith

IPC: G06T11/60 ,  G06V20/70 ,  G06V10/94 ,  G06V10/86 ,  G06V10/77 ,  G06T13/00 ,  G06F16/632

CPC classification number: G06T11/60 ,  G06F16/632 ,  G06T13/00 ,  G06V10/77 ,  G06V10/86 ,  G06V10/945 ,  G06V20/70 ,  G06T2200/24 ,  G06V2201/10

Abstract: In a digital image annotation and retrieval system, a machine learning model identifies an image feature in an image and generates a plurality of question prompts for the feature. For a particular feature, a feature annotation is generated, which can include capturing a narrative, determining a plurality of narrative units, and mapping a particular narrative unit to the identified image feature. An enriched image is generated using the generated feature annotation. The enriched image includes searchable metadata comprising the feature annotation and the plurality of question prompts.

公开(公告)号：US11741157B2

公开(公告)日：2023-08-29

申请号：US17544689

申请日：2021-12-07

Applicant: Adobe Inc.

Inventor： Ajinkya Kale ,  Baldo Faieta ,  Benjamin Leviant ,  Fengbin Chen ,  Francois Guerin ,  Kate Sousa ,  Trung Bui ,  Venkat Barakam ,  Zhe Lin

IPC: G06F16/40 ,  G06F16/58 ,  G06F16/48 ,  G06F16/2457 ,  G06F16/43 ,  G06V20/00 ,  G06F18/23213

CPC classification number: G06F16/5866 ,  G06F16/24578 ,  G06F16/43 ,  G06F16/48 ,  G06F18/23213 ,  G06V20/35 ,  G06V2201/10

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.

公开(公告)号：US20230260068A1

公开(公告)日：2023-08-17

申请号：US17651470

申请日：2022-02-17

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： PIETRO RUSSO ,  ZACHARY WEINGARTEN ,  ALEKSEY LIPCHIN ,  DORAN INGALLS

IPC: G06Q50/26 ,  G06F16/583 ,  G06V20/54 ,  G06V20/62 ,  G06V40/16 ,  G06V10/82 ,  G08B7/06

CPC classification number: G06Q50/265 ,  G06F16/583 ,  G06V20/54 ,  G06V20/625 ,  G06V40/172 ,  G06V10/82 ,  G08B7/06 ,  G06V2201/08 ,  G06V2201/10

Abstract: There is disclosed a method that includes analyzing, using an at least one processor, image data to generate or facilitate acquisition of violation assessment data associated with a vehicle or an owner of that associated vehicle. The method also includes receiving, at the at least one processor, input originating from a police officer indicating an intention to stop the vehicle. The method also includes making a determination, at the at least one processor, whether the violation assessment data supports affirming the stop of the vehicle as a compliant stop, or whether the violation assessment data supports disaffirming the stop of the vehicle. The method also includes transmitting a notification in respect of the stop of the vehicle to a display or speaker perceptible to the police officer. The notification informs as to compliancy or non-compliancy of the stop of the vehicle.

公开(公告)号：US11721101B2

公开(公告)日：2023-08-08

申请号：US17374596

申请日：2021-07-13

Applicant: Lytx, Inc.

Inventor： Brett Hoye

IPC: G06K9/00 ,  G06V20/40 ,  H04N5/765 ,  G06T7/00 ,  G11B27/34 ,  G06V20/56 ,  G01S13/931

CPC classification number: G06V20/41 ,  G06T7/0002 ,  G06V20/56 ,  G11B27/34 ,  H04N5/765 ,  G01S13/931 ,  G01S2013/9323 ,  G06T2207/10016 ,  G06T2207/30252 ,  G06V2201/10

Abstract: A system for video processing includes a ranging system hardware interface, a vehicle bus interface, and a processor. The ranging system hardware interface is configured to receive ranging system data and/or ranging system metadata. The a vehicle bus interface is configured to receive vehicle bus data and vehicle bus metadata sent from a ranging system. The processor is configured to determine video data of interest based at least in part on the ranging system data and the ranging system metadata. The ranging system data and/or the ranging system metadata data includes information not included in the vehicle bus data and vehicle bus metadata sent from the ranging system via the vehicle bus interface.

公开(公告)号：US20230247073A1

公开(公告)日：2023-08-03

申请号：US18064590

申请日：2022-12-12

Applicant: Zoom Video Communications, Inc.

Inventor： Chi-chian Yu

IPC: H04L65/403 ,  H04N5/232 ,  G06V40/20 ,  G06V10/25 ,  G06V20/40 ,  H04N5/247 ,  G06T7/20 ,  H04N7/01 ,  G06V40/10

CPC classification number: H04L65/403 ,  H04N5/23222 ,  G06V40/20 ,  G06V10/25 ,  G06V20/41 ,  H04N5/247 ,  G06T7/20 ,  H04N7/0117 ,  G06V40/10 ,  G06T2207/30196 ,  G06V2201/10 ,  G06T2207/10016

Abstract: Normalized resolutions are determined for first and second regions of interest of an initial video stream captured by a video capture device located within a physical space. The first region of interest is associated with a first conference participant within the physical space and the second region of interest is associated with a second conference participant within the physical space. Instructions are transmitted to the video capture device to cause the video capture device to capture, at the normalized resolutions, a first video stream associated with the first region of interest and a second video stream associated with the second region of interest. The first and second video streams conform sizes and quality levels of the first and second conference participants within separate user interface tiles of a conferencing software user interface to which the first and second video streams are output.

公开(公告)号：US20230215243A1

公开(公告)日：2023-07-06

申请号：US18170239

申请日：2023-02-16

Applicant: SenSen Networks Group PTY Ltd

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

IPC: G07F17/32 ,  H04N7/18 ,  G06V20/52

CPC classification number: G07F17/3234 ,  G07F17/322 ,  G07F17/3239 ,  G07F17/3241 ,  H04N7/183 ,  G06V20/52 ,  G06V2201/10

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：US11693928B2

公开(公告)日：2023-07-04

申请号：US16740808

申请日：2020-01-13

Applicant: VERIZON PATENT AND LICENSING INC.

Inventor： Satish Menon

IPC: G06F21/10 ,  G06F21/16 ,  G06V10/25 ,  H04L9/40

CPC classification number: G06F21/10 ,  G06F21/16 ,  G06V10/25 ,  G06V2201/09 ,  G06V2201/10 ,  H04L63/1408

Abstract: A system and method for protecting copyright in content distributed online, in combination with specified business rules. A portion of content presented for upload on a network is analyzed to detect an image associated with a content owner; the image is compared with reference images to identify the content owner; and business rules are applied to control unauthorized uploading of the content. The identifier may be a logo included in the content as a digital graphic, or a non-visual marker. Analysis is advantageously performed on a sample of video frames or a segment of preselected length. If the content is found to be copyrighted, and the attempted upload is unauthorized, uploading may or may not be permitted, and the user may or may not be charged a fee for subsequent access to the content.

公开(公告)号：US20230206403A1

公开(公告)日：2023-06-29

申请号：US18115463

申请日：2023-02-28

Applicant: Privowny, Inc.

Inventor： Herve Le Jouan

IPC: G06T5/00 ,  G06F16/51 ,  G06T11/60 ,  G06V40/16

CPC classification number: G06T5/002 ,  G06F16/51 ,  G06T11/60 ,  G06V40/16 ,  G06V2201/10

Abstract: 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.