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    Increasing accuracy and resolution of weather forecasts using deep generative models
    2.
    发明授权
    Increasing accuracy and resolution of weather forecasts using deep generative models 有权

    公开(公告)号：US11880767B2

    公开(公告)日：2024-01-23

    申请号：US17676560

    申请日：2022-02-21

    申请人： ClimateAI, Inc.

    发明人： Ilan Shaun Posel Price ,  Stephan Rasp

    IPC分类号： G06N3/08 ,  G01W1/10 ,  G06N3/045

    CPC分类号： G06N3/08 ,  G01W1/10 ,  G06N3/045

    摘要： Embodiments of the present invention provide the use of a conditional Generative Adversarial Network (GAN) to simultaneously correct and downscale (super-resolve) global ensemble weather or climate forecasts. Specifically, a generator deep neural network (G-DNN) in the cGAN comprises a corrector DNN (C-DNN) followed by a super-resolver DNN (SR-DNN). The C-DNN bias-corrects coarse, global meteorological forecasts, taking into account other relevant contextual meteorological fields. The SR-DNN downscales bias-corrected C-DNN output into G-DNN output at a higher target spatial resolution. The GAN is trained in three stages: C-DNN training, SR-DNN training, and overall GAN training, each using separate loss functions. Embodiments of the present invention significantly outperform an interpolation baseline, and approach the performance of operational regional high-resolution forecast models across an array of established probabilistic metrics. Crucially, embodiments of the present invention, once trained, produce high-resolution predictions in seconds on a single machine.

    Methods and systems for generating sports analytics with a mobile device
    6.
    发明授权
    Methods and systems for generating sports analytics with a mobile device 有权

    公开(公告)号：US11638854B2

    公开(公告)日：2023-05-02

    申请号：US16424287

    申请日：2019-05-28

    申请人： NEX Team, Inc.

    发明人： Qi Zhang ,  Wing Hung Chan ,  Keng Fai Lee ,  Wang Fai Ng

    IPC分类号： A63B24/00 ,  A63B69/00 ,  G06V40/20

    摘要： Methods and systems for real-time generation of ball shot analytics are disclosed. The methods and systems perform steps for ball and posture detection, ball and posture flow generation, shot event identification and classification, and shot analytics generation based on identified shot events and shooter posture flow. Embodiments of the present invention use computer vision techniques to enable a resource-limited mobile device such as a smartphone to conduct the aforementioned steps. Also disclosed are benefits of the new methods, and alternative embodiments of implementation.

    Methods, devices, and systems for identifying the composition of materials
    7.
    发明授权
    Methods, devices, and systems for identifying the composition of materials 有权

    公开(公告)号：US11610392B1

    公开(公告)日：2023-03-21

    申请号：US17946076

    申请日：2022-09-16

    申请人： Hangzhou Tianyan Zhilian Technology Co., Ltd.

    发明人： Yuan Zhou ,  Tian Tan

    IPC分类号： G06V10/74 ,  G06V10/774 ,  G06V10/94 ,  G06V10/26 ,  G06V10/30

    摘要： Computer-implemented methods for determining the material composition of an object are disclosed. The method may include obtaining a target image of the object; determining a material cross-sectional image corresponding to a material to be detected and included in the target image; determining a most similar candidate image to the target image and corresponding candidate material composition information, where the most similar candidate image is selected from a target database; generating a material composition area image set comprising a plurality of material composition area images associated with the material cross-sectional image and the most similar candidate image; determining a set of material composition information corresponding to each of the plurality of material composition area images in the material composition area image set; and obtaining a material composition information set from the set of material composition information. This method improves the recognition accuracy and recognition efficiency of the material composition.

    Systems and methods for efficient media editing
    8.
    发明授权
    Systems and methods for efficient media editing 有权

    公开(公告)号：US11545186B2

    公开(公告)日：2023-01-03

    申请号：US17408566

    申请日：2021-08-23

    申请人： Lomotif Private Limited

    发明人： Paul Yang Zhiwen ,  Donald Lee

    IPC分类号： H04N9/80 ,  G11B27/034 ,  H04N21/439 ,  G06F16/635 ,  H04N21/43 ,  H04N5/92

    摘要： In the field of media editing, in one embodiment, a computer-implemented method may include steps for receiving a video at a user device, generating a reversed video portion based on a selected portion of the video, and generating a media file by combining at least a first portion of the video and a second portion of the reversed video portion. In some embodiments, the method further include receiving a user input at the user device, the user input indicative of playback of the selected portion of the video in a forward direction and in a reverse direction; updating the reversed video portion based on the user input to yield an updated reversed video portion; and combining the selected portion and the updated reversed video portion to produce the media file.

    Systems and methods for full body measurements extraction
    9.
    发明授权
    Systems and methods for full body measurements extraction 有权

    公开(公告)号：US11497267B2

    公开(公告)日：2022-11-15

    申请号：US15733770

    申请日：2019-04-15

    申请人： Bodygram, Inc.

    发明人： Chong Jin Koh ,  Yu Sato

    IPC分类号： G06V40/10 ,  A41H1/02 ,  G06T7/143 ,  G06T17/10 ,  G06N20/00 ,  G06T11/20

    摘要： Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each body feature.

    Repetition counting and classification of movements systems and methods
    10.
    发明授权
    Repetition counting and classification of movements systems and methods 有权

    公开(公告)号：US11450010B2

    公开(公告)日：2022-09-20

    申请号：US17503295

    申请日：2021-10-16

    申请人： NEX Team Inc.

    发明人： On Loy Sung ,  Qi Zhang ,  Keng Fai Lee ,  Shing Fat Mak ,  Daniel Dejos ,  Man Hon Chan

    IPC分类号： G06T7/246

    摘要： Methods and systems for determining and classifying a number of repetitive motions in a video are described, and include the steps of first determining a plurality of images from a video, where the images are segmented from at least one video frame of the video. Next, performing a pose detection process on a feature of the images to generate one or more landmarks. Next, determining one or more principle component axes on points associated with a given landmark. Finally, determining at least one repetitive motion based on a pattern associated with a projection of the points onto the one or more principle components. In some embodiments, the disclosed methods can classify the repetitive motions to respective types. The present invention can be implemented for convenient use on a mobile computing device, such as a smartphone, for tracking exercises and similar repetitive motions.