VISUAL POSITIONING METHOD, RELATED APPARATUS AND COMPUTER PROGRAM PRODUCT

    公开(公告)号:US20230005171A1

    公开(公告)日:2023-01-05

    申请号:US17865260

    申请日:2022-07-14

    Abstract: A visual positioning method and apparatus, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes: performing contour enhancement processing on an actual building image included in a image for positioning to obtain an actual building contour, and determining location information of a target building matching the actual building contour from a preset contour map, the contour map being obtained by blurring non-building contour information in a real panoramic map, and finally generating a visual positioning result based on the location information.

    METHOD AND APPARATUS FOR CONSTRUCTING OBJECT RELATIONSHIP NETWORK, AND ELECTRONIC DEVICE

    公开(公告)号:US20230004715A1

    公开(公告)日:2023-01-05

    申请号:US17939271

    申请日:2022-09-07

    Abstract: A method and an apparatus for constructing an object relationship network and an electronic device are provided by the present disclosure, relating to the field of artificial intelligence technologies, such as deep neural networks, deep learning, etc. A specific implementation solution is: extracting keywords in respective text contents corresponding to a plurality of objects to obtain keywords corresponding to respective objects; and according to the keywords corresponding to the objects, a similarity between the plurality of objects is determined; and then according to the similarity between the plurality of objects, an object relationship network between the plurality of objects is constructed. Since the object relationship network constructed by means of the similarity between the plurality of objects can accurately describe a closeness degree of a relationship between the objects, thus, the plurality of objects can be managed effectively by means of the constructed object relationship network.

    KNOWLEDGE CONTENT DISTRIBUTION METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230004607A1

    公开(公告)日:2023-01-05

    申请号:US17807703

    申请日:2022-06-17

    Abstract: Provided are a knowledge content distribution method, an electronic device, and a storage medium. The method includes the following. An acquisition request sent by a distribution waiting user for target knowledge content is received, where the acquisition request carries at least an identifier of the target knowledge content. In response to the acquisition request, the target knowledge content is acquired according to the priority of each author of the target knowledge content in terms of the target knowledge content. The target knowledge content is distributed to the distribution waiting user.

    Video type detection method and apparatus based on key frame, and storage medium

    公开(公告)号:US11544927B2

    公开(公告)日:2023-01-03

    申请号:US17124542

    申请日:2020-12-17

    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.

    METHOD FOR DETERMINING VIDEO CODING TEST SEQUENCE, ELECTRONIC DEVICE AND COMPUTER STORAGE MEDIUM

    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.

    METHOD OF PROCESSING INFORMATION, METHOD OF RENDERING IMAGE, AND ELECTRONIC DEVICE

    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.

    METHOD AND APPARATUS FOR PROCESSING COMMODITY INFORMATION, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20220405792A1

    公开(公告)日:2022-12-22

    申请号:US17822507

    申请日:2022-08-26

    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.

    Virtual object driving method, apparatus, electronic device, and readable storage medium

    公开(公告)号:US11532127B2

    公开(公告)日:2022-12-20

    申请号:US17196664

    申请日:2021-03-09

    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.

    Information Processing Method, Electronic Device, and Storage Medium

    公开(公告)号:US20220398260A1

    公开(公告)日:2022-12-15

    申请号:US17812742

    申请日:2022-07-15

    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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