公开(公告)号：US12002490B2

公开(公告)日：2024-06-04

申请号：US17853384

申请日：2022-06-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Vishwajeet Shukla ,  Manisha Meena ,  Mayank Singour ,  Ishan Pandita

IPC: G06V20/40 ,  G06V10/00 ,  G06V10/40 ,  G11B27/00 ,  G06V10/70 ,  G06V10/764 ,  G06V10/82 ,  G06V30/00

CPC classification number: G11B27/005 ,  G06V20/41 ,  G06V20/49

Abstract: A method for generating a slow motion video. The method includes segmenting, by an electronic device, objects in the video. Further, the method includes determining, by the electronic device, an interaction between the segmented objects. Further, the method includes clustering, by the electronic device, the segmented objects in the video to generate object clusters based on the interaction. Further, the method includes determining, by the electronic device, a degree of slow motion effect to be applied to each of the object clusters in the video based on a significance score of each of the object clusters. Further, the method includes generating, by the electronic device, the slow motion video by applying the degree of slow motion effect to that has been determined to corresponding the object clusters.

公开(公告)号：US11998315B2

公开(公告)日：2024-06-04

申请号：US18077633

申请日：2022-12-08

Applicant: ResMed Pty Ltd

Inventor： Tzu-Chin Yu ,  Aaron Samuel Davidson ,  Robert Henry Frater ,  Benjamin Peter Johnston ,  Paul Jan Klasek ,  Robert Anthony Paterson ,  Quangang Yang ,  Gerard Michael Rummery ,  Priyanshu Gupta ,  Liam Holley ,  Gordon Joseph Malouf

IPC: G06V10/00 ,  A61B5/00 ,  A61B5/107 ,  A61M16/00 ,  A61M16/06 ,  A61M16/10 ,  A61M16/16 ,  G06T19/00 ,  G06T19/20 ,  G16H20/40 ,  G16H40/67 ,  G16H50/50

CPC classification number: A61B5/107 ,  A61B5/1077 ,  A61B5/6819 ,  A61M16/0066 ,  A61M16/06 ,  A61M16/0683 ,  A61M16/0688 ,  A61M16/107 ,  A61M16/16 ,  G06T19/00 ,  G06T19/20 ,  G16H20/40 ,  G16H40/67 ,  A61M2016/0033 ,  A61M2016/0661 ,  A61M16/1055 ,  A61M16/109 ,  A61M16/1095 ,  A61M2205/3368 ,  A61M2207/00 ,  G06T2210/41 ,  G16H50/50 ,  Y02A90/10

Abstract: A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.

公开(公告)号：US11983908B2

公开(公告)日：2024-05-14

申请号：US17060726

申请日：2020-10-01

Applicant: Ford Global Technologies, LLC

Inventor： Stuart C. Salter ,  Katherine Howard-Cone ,  John Robert Van Wiermeersch ,  Hussein Berry ,  John Budaj

IPC: G06V10/00 ,  B60S1/00 ,  B60S1/02 ,  B60S1/08 ,  B60S1/60 ,  H05B1/02 ,  H05B3/86

CPC classification number: G06V10/00 ,  B60S1/00 ,  B60S1/026 ,  H05B1/0236 ,  B60S1/0844 ,  B60S1/603 ,  H05B3/86

Abstract: The disclosure describes systems and methods for controlling a heating element of a window of a vehicle. The systems and methods include capturing an image of the window with a camera of the vehicle. The image is analyzed to determine a state of the window and the heating element is controlled based on the state of the window.

公开(公告)号：US11972602B2

公开(公告)日：2024-04-30

申请号：US17763752

申请日：2020-09-10

Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.

Inventor： Makoto Shinzaki ,  Yuichi Matsumoto

IPC: G06V10/00 ,  G06V10/26 ,  G06V10/774 ,  G06V10/778

CPC classification number: G06V10/7747 ,  G06V10/273 ,  G06V10/778

Abstract: Provided is a method for performing accurate object recognition in a stable manner in consideration of changes in a shooting environment. In such a method, a camera captures an image of a shooting location where an object is to be placed and an object included in an image of the shooting location is recognized utilizing a machine learning model for object recognition. The method further involves: determining necessity of an update operation on the machine learning model for object recognition at a predetermined time; when the update operation is necessary, causing the camera to capture an image of the shooting location where no object is placed to thereby re-acquire a background image for training; and causing the machine learning model to be trained using a composite image of a backgroundless object image and the re-acquired background image for training as training data.

公开(公告)号：US11967137B2

公开(公告)日：2024-04-23

申请号：US17457264

申请日：2021-12-02

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Hiroki Kawasaki ,  Shingo Nagai

IPC: G06V10/00 ,  G06T7/70 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776

CPC classification number: G06V10/776 ,  G06T7/70 ,  G06V10/764 ,  G06V10/774 ,  G06T2207/20081

Abstract: According to one embodiment, a method, computer system, and computer program product for object detection. The embodiment may include receiving an annotated image dataset comprising rectangles which surround objects to be detected and labels which specify a class to which an object belongs. The embodiment may include calculating areas of high and low probability of rectangle distribution for each class of objects within images of the dataset. The embodiment may include applying a correction factor to confidence values of object prediction results, obtained during validation of a trained object detection (OD) model, depending on a class label and a rectangle location of an object prediction result and calculating an accuracy of the trained OD model. The embodiment may include increasing the correction factor and re-calculating the accuracy of the trained OD model with every increase. The embodiment may include selecting an optimal correction factor which yields a highest accuracy.

公开(公告)号：US11961277B2

公开(公告)日：2024-04-16

申请号：US17562980

申请日：2021-12-27

Applicant: Tsinghua University

Inventor： Gao Huang ,  Shiji Song ,  Haojun Jiang ,  Le Yang ,  Yiming Chen

IPC: G06V10/00 ,  G06F18/22 ,  G06V10/44 ,  G06V10/77 ,  G06V10/774

CPC classification number: G06V10/443 ,  G06F18/22 ,  G06V10/7715 ,  G06V10/774

Abstract: A method for detecting image information includes: acquiring at least one sample of image pair to be processed; calculating a reconstruction loss function of the second feature extraction model based on the first image samples and the first reconstructed image feature information; calculating an adversarial loss function of the third feature extraction model based on the second reconstructed image feature information and the first image samples; optimizing the first model parameters in the first feature extraction model based on the reconstruction and the adversarial loss function to generate the optimized first feature extraction model; inputting the acquired image pair to be processed into the optimized first feature extraction model to generate the difference information. The method reduces the first feature extraction model's dependence on the labeled data and improves the model's recognition efficiency and accuracy by using the samples without the labeled difference information.

公开(公告)号：US11954893B2

公开(公告)日：2024-04-09

申请号：US17843270

申请日：2022-06-17

Applicant: Microsoft Technology Licensing, LLC

Inventor： Oron Nir ,  Maria Zontak ,  Tucker Cunningham Burns ,  Apar Singhal ,  Lei Zhang ,  Irit Ofer ,  Avner Levi ,  Haim Sabo ,  Ika Bar-Menachem ,  Eylon Ami ,  Ella Ben Tov ,  Anika Zaman

IPC: G06V10/00 ,  G06F18/214 ,  G06F18/24 ,  G06V10/25 ,  G06V10/774 ,  G06V20/40

CPC classification number: G06V10/25 ,  G06F18/2155 ,  G06F18/24 ,  G06V10/774 ,  G06V20/41 ,  G06V20/46

Abstract: The technology described herein is directed to systems, methods, and software for indexing video. In an implementation, a method comprises identifying one or more regions of interest around target content in a frame of the video. Further, the method includes identifying, in a portion of the frame outside a region of interest, potentially empty regions adjacent to the region of interest. The method continues with identifying at least one empty region of the potentially empty regions that satisfies one or more criteria and classifying at least the one empty region as a negative sample of the target content. In some implementations, the negative sample of the target content in a set of negative samples of the target content, with which to train a machine learning model employed to identify instances of the target content.

公开(公告)号：US11935314B2

公开(公告)日：2024-03-19

申请号：US17125753

申请日：2020-12-17

Applicant: CANON KABUSHIKI KAISHA

Inventor： Satoru Yamanaka

IPC: G06V10/00 ,  G06V30/14 ,  G06V30/148 ,  G06V30/18 ,  G06V30/40 ,  G06V30/10

CPC classification number: G06V30/40 ,  G06V30/1444 ,  G06V30/155 ,  G06V30/18105 ,  G06V30/10

Abstract: In the present disclosure, a candidate area is determined based on a pixel having a specific color included in an input image, and an area is determined to be a processing target from the candidate area based on a pixel having a predetermined color different from the specific color included in the candidate area. Further, a second binary image in which a pixel corresponding to the pixel having the specific color is converted into a white pixel is generated by converting, in a first binary image obtained by the input image being binarized, a pixel that is included in the area determined to be the processing target and corresponds to the pixel having the specific color, into a white pixel.

公开(公告)号：US11935274B2

公开(公告)日：2024-03-19

申请号：US17458179

申请日：2021-08-26

Applicant: Tools for Humanity Corporation

Inventor： Sandro Herbig ,  Auguste Pugnet ,  Alex Blania ,  Pierre Türschmann

IPC: G06V10/00 ,  G02B5/30 ,  G02B27/00 ,  G02B27/28 ,  G06V10/147 ,  G06V40/19 ,  H04N23/80

CPC classification number: G06V10/147 ,  G02B5/3083 ,  G02B27/0093 ,  G02B27/283 ,  G06V40/19 ,  H04N23/80

Abstract: An iris scanning device that includes a single camera sensor utilized for generating iris scan data is described herein. The iris scanning device includes a selector, a lens, and the camera sensor. The selector is configured to receive a first optical signal representative of a first eye and a second optical signal representative of a second eye. The selector selectively allows a passed optical signal to be optically propagated to the lens and inhibits a blocked optical signal from being optically propagated to the lens during a time period. The passed optical signal is one of the first optical signal or the second optical signal during the time period. The blocked optical signal is a differing one of the first optical signal or the second optical signal during the time period. The lens causes the passed optical signal to be incident on the camera sensor during the time period.

公开(公告)号：US11928847B2

公开(公告)日：2024-03-12

申请号：US17716377

申请日：2022-04-08

Applicant: ELM COMPANY

Inventor： Syed Adnan Yusuf ,  Abdulmalik Ali Aldawsari ,  Riad Souissi

IPC: G06V10/00 ,  G06V10/145 ,  G06V10/22 ,  G06V10/774 ,  G06V30/413

CPC classification number: G06V10/145 ,  G06V10/225 ,  G06V10/774 ,  G06V30/413

Abstract: Provided are computer-implemented technologies of authenticating documents. The technologies use a set of photo images (or videos), taken under a certain illumination condition and from a set of distinct tilting angles, on one or more security/ID features of one or more documents of a document genre whose authenticity is ascertained, to train an Artificial Intelligence (AI) machine learning program to build a learned model. The learned model, through the said training, attains a set of angular responses of the document genre under the illumination condition which encode a set of descriptive information about each of the one or more security/ID features of the document genre under the illumination condition. The learned model, then, is applied to authenticate, one by one, a number of target documents of the document genre whose authenticity is unknown and to be determined.