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公开(公告)号：US11544927B2
公开(公告)日：2023-01-03
申请号：US17124542
申请日：2020-12-17
IPC: G06V20/40
Abstract: The present application discloses a video type detection method, apparatus, electronic device and storage medium. A specific implementation solution is as follows: obtaining N key frames of a first video, where N is an integer greater than 1, and a type of the first video is to be detected; obtaining M confidence scores corresponding to each of the N key frames by inputting each of the N key frames into M algorithm models corresponding to the first video type respectively, where M is an integer greater than 1; determining a confidence score of the first video by a fusion strategy algorithm model according to N×M confidence scores of the N key frames; and comparing the confidence score of the first video with a confidence score threshold corresponding to a first video type, to determine whether the type of the first video is the first video type or not.
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492.发明申请公开(公告)号：US20220415046A1
公开(公告)日：2022-12-29
申请号：US17902521
申请日：2022-09-02
Inventor： Jiaojiao ZHANG
Abstract: An method for determining a video coding test sequence, an electronic device, and a computer readable storage medium are provided. The method includes: determining a candidate video set including multiple candidate videos corresponding to a target service requirement; classifying the candidate videos by content categories to obtain a target distribution of content categories; clustering the candidate videos by values of a preset coding complexity to obtain multiple video classes; selecting from each of the video classes respectively a target class-representative video such that an actual distribution of content categories is consistent with the target distribution of content categories; and constructing a target video coding test sequence based on the target class-representative videos.
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公开(公告)号：US20220414971A1
公开(公告)日：2022-12-29
申请号：US17899334
申请日：2022-08-30
Inventor： Yanlong CHANG
Abstract: The present disclosure provides a method of processing an information, a method of rending an image, and an electronic device. A specific implementation solution may include: acquiring a target image obtained by rendering, wherein the target image contains one or more target parameter information corresponding to one or more rendering indexes respectively; generating a rendering code according to the target parameter information of the target image, wherein the rendering code is for rendering an image to be rendered; and transmitting the rendering code to a second electronic device.
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公开(公告)号：US20220405792A1
公开(公告)日：2022-12-22
申请号：US17822507
申请日：2022-08-26
Inventor： Jing Qu , Mengbo Liu , Zhi Feng
Abstract: A method for processing commodity information includes: obtaining commodity information of a commodity, in which the commodity information includes a target commodity configuration and a configuration value; obtaining a composite structure of matching conditions associated with the commodity, in which the composite structure is a tree structure of matching conditions with respect to commodity configurations, non-leaf nodes of the tree structure are in an AND-OR relationship, leaf nodes of the tree structure store Boolean expressions, each Boolean expression includes a commodity configuration, a matching value and a matching operator; obtaining a target expression having an AND-OR relationship by traversing the matching conditions in the composite structure; and obtaining a matching result by performing a matching process based on the target expression, the target commodity configuration and the configuration value of the commodity.
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495.发明授权公开(公告)号：US11532127B2
公开(公告)日：2022-12-20
申请号：US17196664
申请日：2021-03-09
Inventor： Qingyue Meng , Chen Zhao
Abstract: The present application discloses a virtual object driving method, an apparatus, an electronic device and a readable storage medium, which relate to technical fields of artificial intelligence and deep learning. A specific implementing solution is as follows: obtaining a target image of a real object acquired by a camera when the real object makes a limb movement; inputting the target image into a coordinate acquisition model to obtain coordinates of a plurality of key points on a limb of the real object; determining a posture of the limb of the real object according to coordinates of each key point; driving, according to the posture of the real object, a virtual object displayed on a screen to present the limb movement of the real object. The method greatly reduces operation complexity and cost consumption when driving a virtual image.
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Patent Agency Ranking
公开(公告)号：US11531529B2
公开(公告)日：2022-12-20
申请号：US17500779
申请日：2021-10-13
Inventor： Liujie Zhang , Xiang Lan , Huihuang Zheng , Hongyu Liu , Wei Zhou , Yanjun Ma , Dianhai Yu , Haifeng Wang
Abstract: The present disclosure discloses a method, an apparatus and an electronic device for deploying an operator in a deep learning framework and relates to the field of artificial intelligence technology such as deep learning. And the solution is: acquiring a source file of the operator; compiling the source file of the operator to form a dynamic link library of the operator; generating an interface file transferred from the dynamic link library of the operator; generating an installable library file according to the dynamic link library and the interface file; installing the installable library file to a target programming language library.
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公开(公告)号：US20220398260A1
公开(公告)日：2022-12-15
申请号：US17812742
申请日：2022-07-15
Inventor： Jian SUN , Weihua PENG , Chenye WU
Abstract: An information processing method, an electronic device, and a storage medium are provided, which relate to the field of artificial intelligence technologies such as big data, knowledge graphs, deep learning and the like. The method includes: determining a first independence relationship according to a plurality of variables and values respectively corresponding to the plurality of variables, wherein the first independence relationship includes: at least two variables of the plurality of variables being relatively independent; determining a first adjustment scheme according to the plurality of variables and the first independence relationship; adjusting the first independence relationship according to the first adjustment scheme, to obtain a second independence relationship; and obtaining a causal relationship information processing result according to the second independence relationship.
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公开(公告)号：US20220392192A1
公开(公告)日：2022-12-08
申请号：US17890020
申请日：2022-08-17
Inventor： Zhigang Wang , Jian Wang , Hao Sun
IPC: G06V10/74 , G06V10/98 , G06V10/764 , G06V40/50 , G06V10/77
Abstract: A target re-recognition method, a target re-recognition device and an electronic device are provided, which relate to the field of artificial intelligence, in particularly to the field of computer vision and deep learning. The target re-recognition method includes obtaining a to-be-recognized image, and the to-be-recognized image including image content of a target object; recognizing first appearance presentation information corresponding to the target object, and the first appearance presentation information being configured to represent a presentation form of an appearance of the target object in the to-be-recognized image; obtaining from a data retrieval library a candidate retrieval image matching the first appearance presentation information; and performing target re-recognition on the to-be-recognized image based on the candidate retrieval image.
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公开(公告)号：US20220391780A1
公开(公告)日：2022-12-08
申请号：US17820758
申请日：2022-08-18
Inventor： Ji LIU , Beichen MA , Chendi ZHOU , Juncheng JIA , Dejing DOU , Shilei JI , Yuan LIAO
Abstract: The present disclosure provides a method of federated learning. A specific implementation solution includes: determining, for a current learning period, a target device for each task of at least one learning task to be performed, from a plurality of candidate devices according to a plurality of resource information of the plurality of candidate devices; transmitting a global model for the each task to the target device for the each task, so that the target device for the each task trains the global model for the each task; and updating, in response to receiving trained models from all target devices for the each task, the global model for the each task according to the trained models, so as to complete the current learning period. The present disclosure further provides an electronic device, and a storage medium.
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公开(公告)号：US20220383876A1
公开(公告)日：2022-12-01
申请号：US17818609
申请日：2022-08-09
Inventor： Yixiang CHEN , Junchao WANG , Yongguo KANG
Abstract: A method of converting a speech, an electronic device, and a readable storage medium are provided, which relate to a field of artificial intelligence technology such as speech and deep learning, in particular to speech converting technology. The method of converting a speech includes: acquiring a first speech of a target speaker; acquiring a speech of an original speaker; extracting a first feature parameter of the first speech of the target speaker; extracting a second feature parameter of the speech of the original speaker; processing the first feature parameter and the second feature parameter to obtain a Mel spectrum information; and converting the Mel spectrum information to output a second speech of the target speaker having a tone identical to a tone of the first speech of the target speaker and a content identical to a content of the speech of the original speaker.
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