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公开(公告)号：US12225271B2
公开(公告)日：2025-02-11
申请号：US18070689
申请日：2022-11-29
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Bin Shao , Jun Yue , Li Qian , Songcen Xu , Xueyan Huang , Yajiao Liu
Abstract: A video generation method may be applied to the field of image processing and video generation in the field of artificial intelligence. The method includes: receiving a video generation instruction, and obtaining text information and image information in response to the video generation instruction, where the text information includes one or more keywords, and the image information includes N images; obtaining, based on the one or more keywords, one or more image features that is in each of the N images and corresponds to the one or more keywords; and inputting the one or more keywords and the one or more image features of the N images into a target generator network to generate a target video, where the target video includes M images, and the M images are generated based on the one or more image features of the N images and correspond to the one or more keywords.
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公开(公告)号：US20230089566A1
公开(公告)日：2023-03-23
申请号：US18070689
申请日：2022-11-29
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Bin Shao , Jun Yue , Li Qian , Songcen Xu , Xueyan Huang , Yajiao Liu
Abstract: A video generation method, may be applied to the field of image processing and video generation in the field of artificial intelligence. The method includes: receiving a video generation instruction, and obtaining text information and image information in response to the video generation instruction, where the text information includes one or more keywords, and the image information includes N images; obtaining, based on the one or more keywords, an image feature that is in each of the N images and that corresponds to the one or more keywords; and inputting the one or more keywords and image features of the N images into a target generator network to generate a target video, where the target video includes M images, and the M images are images that are generated based on the image features of the N images and that correspond to the one or more keywords.
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公开(公告)号：US20220012533A1
公开(公告)日：2022-01-13
申请号：US17484545
申请日：2021-09-24
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jun Yue , Jianzhuang Liu , Songcen Xu , Youliang Yan , Li Qian
Abstract: This application discloses an object recognition method and apparatus in the field of artificial intelligence. This application relates to the field of artificial intelligence, and specifically, to the field of computer vision. The method includes: obtaining one or more body regions of a to-be-recognized image; determining a saliency score of each of the one or more body regions; and when a saliency score of a body region A is greater than or equal to a categorization threshold, determining a feature vector of an object in the body region A based on a feature of the object in the body region A, and determining a category of the object in the body region A based on the feature vector of the object in the body region A and a category feature vector in a feature library, where the body region A is any one of the one or more body regions.
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公开(公告)号：US20230177800A1
公开(公告)日：2023-06-08
申请号：US18161469
申请日：2023-01-30
Applicant: Huawei Technologies Co., Ltd.
Inventor： Lei Hao , Jun Yue , Songcen Xu
Abstract: A handheld object recognition method includes obtaining location information of each of one or more detected objects in a to-be-recognized image; obtaining a first label of each detected object indicating a type of the detected object, wherein the type of the detected object is used to represent a handheld relationship of the detected object; obtaining a handheld object from the one or more detected objects based on the first label; and obtaining a recognition result of the handheld object in the to-be-recognized image based on the location information of the handheld object.
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