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    Efficient server-client machine learning solution for rich content transformation
    1.
    发明授权
    Efficient server-client machine learning solution for rich content transformation 有权

    公开(公告)号：US11810267B2

    公开(公告)日：2023-11-07

    申请号：US17240396

    申请日：2021-04-26

    申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

    发明人： Ji Li ,  Huan Yang ,  Jianlong Fu

    IPC分类号： G06T3/40 ,  G06N20/00

    CPC分类号： G06T3/4046 ,  G06N20/00 ,  G06T3/4084

    摘要： A system and method for rich content transformation are provided. The system and method allow rich content transformation to be separately processed on a client device and on a cloud-based server. The client device downsizes a rich content and transmits the downsized rich content to the cloud-based server via a network. The cloud-based server calculates function parameters based on the downsized rich content using one or more machine learning models included in the server. The calculated function parameters are transmitted to the client device via the network. The client device then applies these function parameters to the rich content on the client device to obtain the transformed rich content.

    Fine-grained image recognition
    2.
    发明授权
    Fine-grained image recognition 有权

    公开(公告)号：US11670071B2

    公开(公告)日：2023-06-06

    申请号：US16631923

    申请日：2018-05-29

    申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

    发明人： Jianlong Fu ,  Tao Mei

    IPC分类号： G06V30/194 ,  G06T7/11 ,  G06T1/20 ,  G06T1/60 ,  G06V10/94 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82

    CPC分类号： G06V10/454 ,  G06T1/20 ,  G06T1/60 ,  G06T7/11 ,  G06V10/764 ,  G06V10/82 ,  G06V10/95

    摘要： In accordance with implementations of the subject matter described herein, a solution for fine-grained image recognition is proposed. This solution includes extracting a global feature of an image using a first sub-network of a first learning network; determining a first attention region of the image based on the global feature using a second sub-network of the first learning network, the first attention region including a discriminative portion of an object in the image; extracting a first local feature of the first attention region using a first sub-network of a second learning network; and determining a category of the object in the image based at least in part on the first local feature. Through this solution, it is possible to localize an image region at a finer scale accurately such that a local feature at a fine scale can be obtained for object recognition.

    Image transformation infrastructure
    3.
    发明授权
    Image transformation infrastructure 有权

    公开(公告)号：US11935154B2

    公开(公告)日：2024-03-19

    申请号：US17684889

    申请日：2022-03-02

    申请人： Microsoft Technology Licensing, LLC

    发明人： Ji Li ,  Fatima Zohra Daha ,  Bei Liu ,  Huan Yang ,  Jianlong Fu

    IPC分类号： G06T7/00 ,  G06F3/0482 ,  G06T11/00

    CPC分类号： G06T11/00 ,  G06F3/0482 ,  G06T7/0002 ,  G06T2200/24 ,  G06T2207/20081 ,  G06T2207/30168

    摘要： A method and system for transforming an input image via a plurality of image transformation stylizers includes receiving the input image; providing the input image, information about the plurality of image transformation stylizers and at least one of user data, history data, and contextual data to a trained machine-learning (ML) model for selecting a subset of the plurality of image transformation stylizers; receiving as an output from the ML model the subset of image transformation stylizers; executing the subset of the image transformation stylizers on the input image to generate a plurality of transformed output images; ranking the plurality of transformed output images based on at least one of the input image, the user data, the history data, and the contextual data; and providing the ranked plurality of transformed output images for display.

    AUTOMATIC GENERATION OF STYLIZED ICONS
    5.
    发明公开
    AUTOMATIC GENERATION OF STYLIZED ICONS 审中-公开

    公开(公告)号：US20240201824A1

    公开(公告)日：2024-06-20

    申请号：US18415368

    申请日：2024-01-17

    申请人： Microsoft Technology Licensing, LLC

    发明人： Jianlong Fu ,  Jinpeng Wang ,  Chin-Yew Lin

    IPC分类号： G06F3/04817 ,  G06F3/04845 ,  G06T11/00 ,  G06T11/60

    CPC分类号： G06F3/04817 ,  G06F3/04845 ,  G06T11/001 ,  G06T11/60

    摘要： In embodiments of the present disclosure, there is provided a method for generating a stylized icon automatically. After a query text inputted by a user is obtained, a trained generator is used to generate a structured icon that can characterize a structure of an object, and then the structured icon is stylized, such as performing color padding or adding other styles, so as to generate a high-quality stylized icon for the user. In embodiments of the present disclosure, a structured icon and a stylized icon are generated respectively at two stages, where the structured icon can clearly characterize the structure of the object, while the stylized icon can be richer in color and style. Therefore, the stylized icon generated according to embodiments of the present disclosure has a higher quality and is more realistic, thereby improving the user experience of icon generation.

    IMAGE ANIMATION
    6.
    发明公开
    IMAGE ANIMATION 审中-公开

    公开(公告)号：US20240153189A1

    公开(公告)日：2024-05-09

    申请号：US18279764

    申请日：2022-04-02

    申请人： Microsoft Technology Licensing, LLC

    发明人： Bei Liu ,  Huan Yang ,  Jianlong Fu

    IPC分类号： G06T13/80 ,  G06T7/12 ,  G06T7/246 ,  G06T7/70 ,  G06V10/44

    CPC分类号： G06T13/80 ,  G06T7/12 ,  G06T7/246 ,  G06T7/70 ,  G06V10/44 ,  G06T2207/20084

    摘要： According to implementations of the subject matter described herein, there is provided a solution for generating a video from an image. In this solution, an input image and a reference video are obtained; a motion pattern of a reference object in the reference video is determined based on the reference video. An output video with the input image as a starting frame is generated. Motion of a target object in the output video has the motion pattern of the reference object and the target object is in the input image. In this way, according to the solution, the motion pattern of the reference object in the reference video can be intuitively applied to the input image to generate the output video, and the motion of the target object in the output video has the motion pattern of the reference object.

    AUTOMATIC GENERATION OF STYLIZED ICONS
    8.
    发明申请
    AUTOMATIC GENERATION OF STYLIZED ICONS 有权

    公开(公告)号：US20220253202A1

    公开(公告)日：2022-08-11

    申请号：US17606985

    申请日：2020-03-19

    申请人： Microsoft Technology Licensing, LLC

    发明人： Jianlong Fu ,  Jinpeng Wang ,  Chin-Yew Lin

    IPC分类号： G06F3/04817 ,  G06F3/04845

    摘要： In embodiments of the present disclosure, there is provided a method for generating a stylized icon automatically. After a query text inputted by a user is obtained, a trained generator is used to generate a structured icon that can characterize a structure of an object, and then the structured icon is stylized, such as performing color padding or adding other styles, so as to generate a high-quality stylized icon for the user. In embodiments of the present disclosure, a structured icon and a stylized icon are generated respectively at two stages, where the structured icon can clearly characterize the structure of the object, while the stylized icon can be richer in color and style. Therefore, the stylized icon generated according to embodiments of the present disclosure has a higher quality and is more realistic, thereby improving the user experience of icon generation.