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公开(公告)号:US12100146B2
公开(公告)日:2024-09-24
申请号:US17685115
申请日:2022-03-02
发明人: Michael Barnes , Srinivas Chukka , David Knowles
IPC分类号: G06T7/00 , C12Q1/6886 , G06F18/211 , G06F18/25 , G06V10/771 , G06V10/80 , G06V20/69
CPC分类号: G06T7/0012 , C12Q1/6886 , G06F18/211 , G06F18/253 , G06V10/771 , G06V10/806 , G06V20/698 , G06T2207/10024 , G06T2207/10056 , G06T2207/10064 , G06T2207/20081 , G06T2207/30024 , G06T2207/30068 , G06T2207/30072 , G06T2207/30096
摘要: The subject disclosure presents systems and computer-implemented methods for assessing a risk of cancer recurrence in a patient based on a holistic integration of large amounts of prognostic information for said patient into a single comparative prognostic dataset. A risk classification system may be trained using the large amounts of information from a cohort of training slides from several patients, along with survival data for said patients. For example, a machine-learning-based binary classifier in the risk classification system may be trained using a set of granular image features computed from a plurality of slides corresponding to several cancer patients whose survival information is known and input into the system. The trained classifier may be used to classify image features from one or more test patients into a low-risk or high-risk group.
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公开(公告)号:US12086212B2
公开(公告)日:2024-09-10
申请号:US17374174
申请日:2021-07-13
发明人: Jaeseok Choi , Nahyup Kang , Hyongeuk Lee , Byungin Yoo
CPC分类号: G06F18/253 , G06N3/08 , G06T5/70 , G06T5/73 , G06V10/462
摘要: An image restoration method includes determining an anchor image based on individual images of a burst image set, executing a feature extraction network based on the burst image set while using anchor information of the anchor image, and generating a restored image based on a feature map corresponding to an output of the feature extraction network.
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33.
公开(公告)号:US12021643B2
公开(公告)日:2024-06-25
申请号:US18076019
申请日:2022-12-06
申请人: Airbnb, Inc.
发明人: Avand Amiri , Stepan Parunashvili
IPC分类号: H04L65/403 , G06F18/214 , G06F18/25 , G06Q10/02 , G06T13/40 , G06V20/40 , G06V40/16 , G06V40/20 , H04L12/18 , H04L51/046 , H04L51/08 , H04N7/15
CPC分类号: H04L12/1818 , G06F18/214 , G06F18/253 , G06Q10/02 , G06T13/40 , G06V20/40 , G06V40/176 , G06V40/20 , H04L12/1822 , H04L51/046 , H04L51/08 , H04L65/403 , H04N7/157
摘要: A presentation service generates an audience interface for an electronic presentation. The audience interface may simulate an in-person presentation, including features such as a central presenter and seat locations for audience members. The audience members may select emotes which may be displayed in the audience interface. The emotes may indicate the audience members' opinion of the content being presented. The presentation service may enable chats between multiple audience members, grouping of audience members private rooms, and other virtual simulations of functions corresponding to in-person presentations.
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34.
公开(公告)号:US20240195645A1
公开(公告)日:2024-06-13
申请号:US18442560
申请日:2024-02-15
申请人: Airbnb, Inc.
发明人: Avand Amiri , Stepan Parunashvili
IPC分类号: H04L12/18 , G06F18/214 , G06F18/25 , G06Q10/02 , G06T13/40 , G06V20/40 , G06V40/16 , G06V40/20 , H04L51/046 , H04L51/08 , H04L65/403 , H04N7/15
CPC分类号: H04L12/1818 , G06F18/214 , G06F18/253 , G06Q10/02 , G06T13/40 , G06V20/40 , G06V40/176 , G06V40/20 , H04L12/1822 , H04L51/046 , H04L51/08 , H04L65/403 , H04N7/157
摘要: A presentation service generates an audience interface for an electronic presentation. The audience interface may simulate an in-person presentation, including features such as a central presenter and seat locations for audience members. The audience members may select emotes which may be displayed in the audience interface. The emotes may indicate the audience members' opinion of the content being presented. The presentation service may enable chats between multiple audience members, grouping of audience members private rooms, and other virtual simulations of functions corresponding to in-person presentations.
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公开(公告)号:US11988792B2
公开(公告)日:2024-05-21
申请号:US17255136
申请日:2018-06-29
发明人: Hung Kwan Chen , Chi Hung Tong
CPC分类号: G01V11/00 , G01S13/886 , G01S13/887 , G06F18/253 , G06V20/53
摘要: A system and a method for a crowd surveillance device comprising a multi-sensor system connected to a processing device, wherein the processing device comprises an image fusion module for receiving images from the multi-sensor system, transforming and fusing images into a fused image; an image analytic module for extracting each individual target and identifying any conceal object on the individual target, an alert triggering module for triggering an alert in the event a conceal object on the individual target is identified.
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公开(公告)号:US11983890B2
公开(公告)日:2024-05-14
申请号:US16916669
申请日:2020-06-30
发明人: Chul Woo Kang , Hyun Cheol Jeon , Kyungboo Jung
IPC分类号: G06T7/246 , G01C21/16 , G01C21/28 , G06F18/25 , G06N3/08 , G06V10/44 , G06V10/80 , G06V10/82 , G06V20/56 , G06V20/58
CPC分类号: G06T7/246 , G01C21/165 , G01C21/28 , G06F18/253 , G06N3/08 , G06V10/454 , G06V10/806 , G06V10/82 , G06V20/584 , G06V20/588 , G06T2207/30252
摘要: A processor-implemented motion information estimating method includes: estimating motion information based on at least one set of initial motion information of a vehicle that is obtained from at least one sensor; predicting a plurality of sets of image feature information corresponding to a periphery of the vehicle based on the estimated motion information; obtaining a plurality of sets of detected image feature information detected from an input image obtained from an image sensor and an accuracy of each of the sets of the detected image feature information using a neural network; evaluating a reliability of each of the sets of the detected image feature information by comparing the sets of the predicted image feature information and the sets of the detected image feature information; and correcting the estimated motion information based on at least one set of the sets of the detected image feature information selected based on a result of the evaluating of the reliability and on the accuracy.
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37.
公开(公告)号:US11967151B2
公开(公告)日:2024-04-23
申请号:US17515164
申请日:2021-10-29
发明人: Yan Li , Xintian Shi , Bin Ji
IPC分类号: G06K9/00 , G06F18/214 , G06F18/25 , G06V20/40
CPC分类号: G06V20/41 , G06F18/214 , G06F18/253 , G06V20/46 , G06V20/49
摘要: Embodiments of this application disclose a video classification method performed by a computer device and belong to the field of computer vision (CV) technologies. The method includes: obtaining a video; selecting n image frames from the video; extracting respective feature information of the n image frames according to a learned feature fusion policy by using a feature extraction network, the learned feature fusion policy being used for indicating proportions of the feature information of the other image frames that have been fused with feature information of a first image frame in the n image frames; and determining a classification result of the video according to the respective feature information of the n image frames. By replacing complex and repeated 3D convolution operations with simple feature information fusion between adjacent image frames, time for finally obtaining a classification result of the video is therefore reduced, thereby having high efficiency.
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38.
公开(公告)号:US11954591B2
公开(公告)日:2024-04-09
申请号:US16990877
申请日:2020-08-11
发明人: Bairui Wang , Lin Ma , Wei Liu
IPC分类号: G06N3/08 , G06F16/58 , G06F16/583 , G06F18/25 , G06V10/40 , G06V10/764 , G06V10/77 , G06V10/82 , G06V20/00 , G06V20/40
CPC分类号: G06N3/08 , G06F16/583 , G06F16/5866 , G06F18/253 , G06V10/40 , G06V10/764 , G06V10/77 , G06V10/82 , G06V20/35 , G06V20/47
摘要: This application provides a method of generating a description for a picture set performed at a computer device, and a storage medium. The method includes: acquiring a picture set to be processed; performing picture feature extraction on each picture in the picture set to acquire a picture feature corresponding to the picture, and forming a picture feature sequence corresponding to the picture set by using the picture features corresponding to the pictures; performing scene feature extraction on a picture feature sub-sequence corresponding to each scene in the picture feature sequence to acquire a scene feature corresponding to the scene, and forming a scene feature sequence corresponding to the picture set by using the scene features corresponding to the scenes; and generating textual description information of the picture set according to the picture feature sequence and the scene feature sequence that correspond to the picture set.
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公开(公告)号:US11954179B2
公开(公告)日:2024-04-09
申请号:US17018069
申请日:2020-09-11
CPC分类号: G06F18/251 , G06F18/253 , G06F18/256 , G06V20/58 , H04L47/34 , H04L67/12
摘要: Provided herein is a system and method to fuse data from sensors. The system includes sensors configured to capture data associated with one or more targets, the data including timestamps indicating originating times, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform obtaining, at a filter, transmitted data associated with the one or more targets from the plurality of sensors, from the obtained data, identifying an unsequenced measurement having a timestamp before a second timestamp of a second measurement but obtained at the filter after the second measurement was obtained at the filter, updating a state of the filter according to the unsequenced measurement, based on a nonlinear measurement model and a nonlinear process model.
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40.
公开(公告)号:US11947631B2
公开(公告)日:2024-04-02
申请号:US17482290
申请日:2021-09-22
发明人: Jong Hwa Lee , Praggya Garg
IPC分类号: G06K9/00 , G06F3/14 , G06F18/22 , G06F18/2431 , G06F18/25 , G06F18/40 , G06N3/04 , G06N3/08 , G06T7/00 , G06V10/40 , G06V20/40
CPC分类号: G06F18/22 , G06F3/14 , G06F18/2431 , G06F18/253 , G06F18/40 , G06N3/04 , G06N3/08 , G06T7/0002 , G06V10/40 , G06V20/46 , G06T2207/10016 , G06T2207/20084 , G06T2207/30168
摘要: An electronic device and method for reverse image search is provided. The electronic device receives an image. The electronic device extracts, by a DNN model, a first set of image features associated with the image and generates a first feature vector based on the first set of image features. The electronic device extracts, by an image-feature detection model, a second set of image features associated with the image and generates a second feature vector based on the second set of image features. The electronic device generates a third feature vector based on combination of the first and second feature vectors. The electronic device determines a similarity metric between the third feature vector and a fourth feature vector of each of a set of pre-stored images and identifies a pre-stored image based on the similarity metric. The electronic device controls a display device to display information associated with the pre-stored image.
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