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    Frame selection for streaming applications
    52.
    发明授权
    Frame selection for streaming applications 有权

    公开(公告)号：US12047595B2

    公开(公告)日：2024-07-23

    申请号：US17955734

    申请日：2022-09-29

    Applicant: Nvidia Corporation

    Inventor： Aurobinda Maharana ,  Arun Mallya ,  Ming-Yu Liu ,  Abhijit Patait

    IPC: H04N19/50 ,  H04N19/21

    CPC classification number: H04N19/50 ,  H04N19/21

    Abstract: Systems and methods herein address reference frame selection in video streaming applications using one or more processing units to decode a frame of an encoded video stream that uses an inter-frame depicting an object and an intra-frame depicting the object, the intra-frame being included in a set of intra-frames based at least in part on at least one attribute of the object as depicted in the intra-frame being different from the at least one attribute of the object as depicted in other intra-frames of the set of intra-frames.

    CREATING AN IMAGE UTILIZING A MAP REPRESENTING DIFFERENT CLASSES OF PIXELS
    57.
    发明申请
    CREATING AN IMAGE UTILIZING A MAP REPRESENTING DIFFERENT CLASSES OF PIXELS 有权

    公开(公告)号：US20220012536A1

    公开(公告)日：2022-01-13

    申请号：US17483688

    申请日：2021-09-23

    Applicant: NVIDIA Corporation

    Inventor： Ting-Chun Wang ,  Ming-Yu Liu ,  Bryan Christopher Catanzaro ,  Jan Kautz ,  Andrew J. Tao

    IPC: G06K9/62 ,  G06K9/72 ,  G06K9/68 ,  G06K9/46

    Abstract: A method, computer readable medium, and system are disclosed for creating an image utilizing a map representing different classes of specific pixels within a scene. One or more computing systems use the map to create a preliminary image. This preliminary image is then compared to an original image that was used to create the map. A determination is made whether the preliminary image matches the original image, and results of the determination are used to adjust the computing systems that created the preliminary image, which improves a performance of such computing systems. The adjusted computing systems are then used to create images based on different input maps representing various object classes of specific pixels within a scene.

    CONTENT-AWARE STYLE ENCODING USING NEURAL NETWORKS
    58.
    发明申请
    CONTENT-AWARE STYLE ENCODING USING NEURAL NETWORKS 有权

    公开(公告)号：US20210358164A1

    公开(公告)日：2021-11-18

    申请号：US16875748

    申请日：2020-05-15

    Applicant: NVIDIA Corporation

    Inventor： Ming-Yu Liu ,  Kuniaki Saito

    IPC: G06T7/73 ,  G06T7/174 ,  G06T9/00 ,  G06K9/62 ,  G06N3/08

    Abstract: Apparatuses, systems, and techniques to facilitate application of a style, for which one or more neural networks have not been trained by a training framework, from one image to content of another image. In at least one embodiment, a styled output image is generated by one or more neural networks based on a style contained in a style image and content of a content image where said one or more neural networks have not been trained by a training framework on said style.

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