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公开(公告)号：US20230012642A1
公开(公告)日：2023-01-19
申请号：US17933160
申请日：2022-09-19
Abstract: With the method for snapshotting metadata, in response to reaching a current snapshot moment, a second basic version number of a binary search tree in a database at the current snapshot moment is generated according to a first basic version number at a previous snapshot moment; during a process from the current snapshot moment to a next snapshot moment, whenever metadata in the database is updated, the binary search tree is updated according to the updated metadata, and an updated version number of the binary search tree after each update is generated according to the second basic version number; and in response to reaching the next snapshot moment, a snapshot operation is performed on binary search trees corresponding to all version numbers generated between the current snapshot moment and the next snapshot moment to generate snapshot information of the current snapshot moment.
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公开(公告)号：US20230010031A1
公开(公告)日：2023-01-12
申请号：US17946464
申请日：2022-09-16
Inventor： Pengyuan LYU , Sen FAN , Xiaoyan WANG , Yuechen YU , Chengquan ZHANG , Kun YAO , Junyu HAN
Abstract: A method for recognizing a text, an electronic device and a storage medium. An implementation of the method comprises: obtaining a multi-dimensional first feature map of a to-be-recognized image; performing, based on feature values in the first feature map, feature enhancement processing on each feature value in the first feature map; and performing a text recognition on the to-be-recognized image based on the first feature map after the enhancement processing.
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公开(公告)号：US20230008696A1
公开(公告)日：2023-01-12
申请号：US17939364
申请日：2022-09-07
Inventor： Yunhao WANG , Bin ZHANG , Ying XIN , Yuan FENG , Shumin HAN
IPC: G06T5/00 , G06V10/22 , G06V10/774 , G06T5/50
Abstract: The present disclosure provides a method for incrementing a sample image, an electronic device, and a computer readable storage medium. A specific implementation comprises: acquiring a first convolutional feature of an original sample image; determining, according to a region generation network and the first convolutional feature, a candidate region and a first probability that the candidate region contains a target object; determining a target candidate region from the candidate region based on the first probability, and mapping the target candidate region back to the original sample image to obtain an intermediate image; and performing image enhancement processing on a portion of the intermediate image corresponding to the target candidate region and/or performing image blur processing on a portion of the intermediate image corresponding to a non-target candidate region to obtain an incremental sample image.
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公开(公告)号：US20230008473A1
公开(公告)日：2023-01-12
申请号：US17944745
申请日：2022-09-14
Inventor： Xin LI , He ZHENG , Fanglong LIU , Dongliang HE
IPC: H04N19/159 , H04N19/182 , G06V20/40
Abstract: A video repairing method, apparatus, device, medium, and product are provided. The method includes: acquiring a to-be-repaired video frame sequence; determining a target category corresponding to each pixel in the to-be-repaired video frame sequence based on the to-be-repaired video frame sequence and a preset category detection model; determining, from the to-be-repaired video frame sequence, to-be-repaired pixels each with a target category being a to-be-repaired category; and performing repairing on to-be-repaired areas corresponding to the to-be-repaired pixels to obtain a target video frame sequence.
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765.发明申请公开(公告)号：US20230005572A1
公开(公告)日：2023-01-05
申请号：US17687809
申请日：2022-03-07
Inventor： Zhiyuan CHEN , Xiaomin FANG , Fan WANG
Abstract: A molecular structure acquisition method, an electronic device and a storage medium, which relate to the field of artificial intelligence such as deep learning, are disclosed. The method may include: performing, for an initial seed, the following first processing: generating M molecular structures according to the seed, M being a positive integer greater than one; taking the M molecular structures as candidate molecular structures, and selecting some molecular structures from the candidate molecular structures as progeny molecular structures; and performing evolutionary learning on the progeny molecular structures, taking the progeny molecular structures after evolutionary learning as the seed, and repeating the first processing until convergence reaches an optimization objective, and when the convergence reaches the optimization objective, a newly selected molecular structure is taken as a desired molecular structure.
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Patent Agency Ranking
766.发明申请公开(公告)号：US20230005272A1
公开(公告)日：2023-01-05
申请号：US17944742
申请日：2022-09-14
Inventor： Yingying LI , Xiao TAN , Hao SUN
Abstract: The present disclosure provides a method and apparatus for detecting a traffic anomaly, a device, a storage medium and a computer program product, relates to the field of artificial intelligence, and specifically to computer vision and deep learning technologies, and can be applied to intelligent transportation scenarios. A specific implementation of the method comprises: acquiring a traffic video stream; performing vehicle detection tracking on the traffic video stream to determine whether there is an abnormally stopped vehicle, wherein a stop with a time length exceeding a preset time length belongs to an abnormal stop; and performing a traffic anomaly classification on a video frame corresponding to the abnormal stop using a decision tree to obtain a traffic anomaly type, if there is the abnormally stopped vehicle, wherein the decision tree is generated based on features for a traffic anomaly detection.
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公开(公告)号：US20230004614A1
公开(公告)日：2023-01-05
申请号：US17729282
申请日：2022-04-26
Inventor： Yanyan LI , Airong JIANG , Shilin WU , Dejing DOU
IPC: G06F16/9538 , G06F16/9537 , G06F16/29 , G06N20/00
Abstract: The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.
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公开(公告)号：US20230004363A1
公开(公告)日：2023-01-05
申请号：US17784454
申请日：2020-07-27
Inventor： Youjun Yuan
Abstract: This application discloses a stream computing job processing method, a stream computing system and an electronic device, and the method includes: obtaining a stream computing job; running the stream computing job in a process-based manner, where the stream computing job includes at least one process.
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公开(公告)号：US11546577B2
公开(公告)日：2023-01-03
申请号：US16985123
申请日：2020-08-04
Inventor： Tianbao Yu , Tiansheng Deng , Peng Du , Ting Yun
Abstract: The present disclosure provides a video jitter detection method and an apparatus. The video jitter detection method includes: acquiring a video; inputting the video into a detection model to obtain an evaluation value of the video, where the evaluation value is used to indicate a degree of jitter of the video; where the detection model is a model obtained by training using video samples in a video sample set as inputs and evaluation values of the video samples in the video sample set as outputs. By inputting the video to be detected into the detection model, the evaluation value of the video can be acquired through the detection model, thereby whether the video is jittery is determined, which realizes the video jitter detection end-to-end, and improves the detection accuracy and robustness of video jitter.
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公开(公告)号：US20220414689A1
公开(公告)日：2022-12-29
申请号：US17900649
申请日：2022-08-31
Inventor： Qi Zhang , Hengshu Zhu , Peng Wang , Hao Liu , Hui Xiong
Abstract: A method and an apparatus for training a path representation model are provided. The method may include: acquiring at least one trajectory point of at least one user, where each trajectory point of each user includes a place passed by the user, a start time and a duration; inputting the at least one trajectory point of the at least one user into a pre-trained model to obtain a trajectory representation of each user; obtaining, for each user, a position of each trajectory point from the trajectory representation of the user by searching according to the start time and the duration of each trajectory point of the user; and adjusting a network parameter of the pre-trained model according to a difference between the place passed by each user and the position of each trajectory point obtained by searching, to obtain a path representation model.
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