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    Video clip classification using feature vectors of a trained image classifier
    1.
    发明授权
    Video clip classification using feature vectors of a trained image classifier 有权

    公开(公告)号：US12263403B2

    公开(公告)日：2025-04-01

    申请号：US18334978

    申请日：2023-06-14

    Applicant: NVIDIA Corporation

    Inventor： Prabindh Sundareson

    IPC: A63F13/352 ,  A63F13/67 ,  A63F13/86 ,  G06F18/23 ,  G06N3/08 ,  G06V10/762 ,  G06V10/764 ,  G06V10/82 ,  G06V20/40

    Abstract: In various examples, potentially highlight-worthy video clips are identified from a gameplay session that a gamer might then selectively share or store for later viewing. The video clips may be identified in an unsupervised manner based on analyzing game data for durations of predicted interest. A classification model may be trained in an unsupervised manner to classify those video clips without requiring manual labeling of game-specific image or audio data. The gamer can select the video clips as highlights (e.g., to share on social media, store in a highlight reel, etc.). The classification model may be updated and improved based on new video clips, such as by creating new video-clip classes.

    Determining high-interest durations of gameplay sessions from user inputs
    2.
    发明授权
    Determining high-interest durations of gameplay sessions from user inputs 有权

    公开(公告)号：US11158346B2

    公开(公告)日：2021-10-26

    申请号：US16586506

    申请日：2019-09-27

    Applicant: NVIDIA Corporation

    Inventor： Prabindh Sundareson

    IPC: A63F13/497 ,  G11B27/031 ,  G11B27/00 ,  G11B27/34 ,  A63F13/23 ,  H04L29/06 ,  H04L29/08

    Abstract: In various examples, durations of relatively high user activity within a gameplay session may be determined from user input events using a running user activity measurement. Once a duration is identified, it may be further analyzed to merge the duration with one or more other durations and/or to determine or predict whether the duration would be of sufficient interest for further action. A user interest score for an identified duration may be computed based on a set of the user input events that occur in the duration and used to determine and/or predict whether the duration would be of sufficient interest for further action. In some cases, an action may be performed based on determining the user interest score is greater than a statistical value that is computed from user interest scores of multiple identified durations.

    Automatic generation of video playback effects
    4.
    发明授权
    Automatic generation of video playback effects 有权

    公开(公告)号：US11176967B2

    公开(公告)日：2021-11-16

    申请号：US16928222

    申请日：2020-07-14

    Applicant: NVIDIA Corporation

    Inventor： Prabindh Sundareson ,  Prakash Yadav ,  Himanshu Bhat

    IPC: H04N9/80 ,  G11B27/031 ,  G11B27/00 ,  A63F13/497 ,  G11B27/34 ,  A63F13/23 ,  H04L29/06 ,  H04L29/08

    Abstract: In various examples, recordings of gameplay sessions are enhanced by the application of special effects to relatively high(er) and/or low(er) interest durations of the gameplay sessions. Durations of relatively high(er) or low(er) predicted interest in a gameplay session are identified, for instance, based upon level of activity engaged in by a gamer during a particular gameplay session duration. Once identified, different variations of video characteristic(s) are applied to at least a portion of the identified durations for implementation during playback. The recordings may be generated and/or played back in real-time with a live gameplay session, or after completion of the gameplay session. Further, video data of the recordings themselves may be modified to include the special effects and/or indications of the durations and/or variations may be included in metadata and used for playback.

    Video Clip Classification using Feature Vectors of a Trained Image Classifier
    6.
    发明申请
    Video Clip Classification using Feature Vectors of a Trained Image Classifier 有权

    公开(公告)号：US20210271887A1

    公开(公告)日：2021-09-02

    申请号：US17325435

    申请日：2021-05-20

    Applicant: NVIDIA Corporation

    Inventor： Prabindh Sundareson

    IPC: G06K9/00 ,  G06N3/08 ,  A63F13/86 ,  G06K9/62 ,  A63F13/67

    Abstract: In various examples, potentially highlight-worthy video clips are identified from a gameplay session that a gamer might then selectively share or store for later viewing. The video clips may be identified in an unsupervised manner based on analyzing game data for durations of predicted interest. A classification model may be trained in an unsupervised manner to classify those video clips without requiring manual labeling of game-specific image or audio data. The gamer can select the video clips as highlights (e.g., to share on social media, store in a highlight reel, etc.). The classification model may be updated and improved based on new video clips, such as by creating new video-clip classes.

    CONTENT UPSCALING SYSTEMS AND APPLICATIONS USING ADAPTIVE SAMPLING
    8.
    发明申请
    CONTENT UPSCALING SYSTEMS AND APPLICATIONS USING ADAPTIVE SAMPLING 有权

    公开(公告)号：US20240428374A1

    公开(公告)日：2024-12-26

    申请号：US18338177

    申请日：2023-06-20

    Applicant: Nvidia Corporation

    Inventor： Prabindh Sundareson ,  Suresh Yerva ,  Shyam Kalidas Raikar

    IPC: G06T3/40 ,  G06V10/54

    Abstract: Approaches presented herein provide for the generation, transmission, and upsampling of content for presentation using devices with varying graphics capabilities. Various computing devices can include integrated GPUs or other limited capacity hardware that may be unable to support higher performance graphics upscaler algorithms, and can thus default to using a process such as hardware-implemented bilinear filtering for upscaling, resulting in lower quality displayed images. An adaptive filter can be used to reduce the number of texture accesses needed per pixel, which can provide for improved perceptive quality and increased device support. A number of input samples to be taken for an output pixel location can be adapted to the capacity of the device to perform the upsampling, where a reduced number of samples or “taps” per pixel can significantly reduce the resource capacity needed to perform upscaling and interpolation using a Catnumm-Rom filter or Lanczos filter, implemented as a GPU shader, and allow higher quality upscaling on limited capacity systems.

    Encoding output for streaming applications based on client upscaling capabilities
    10.
    发明授权
    Encoding output for streaming applications based on client upscaling capabilities 有权

    公开(公告)号：US11818192B2

    公开(公告)日：2023-11-14

    申请号：US17683140

    申请日：2022-02-28

    Applicant: NVIDIA Corporation

    Inventor： Prabindh Sundareson ,  Sachin Pandhare ,  Shyam Raikar

    IPC: H04L65/756 ,  H04L65/75

    CPC classification number: H04L65/756 ,  H04L65/762 ,  H04L65/764

    Abstract: In various examples, the decoding and upscaling capabilities of a client device are analyzed to determine encoding parameters and operations used by a content streaming server to generate encoded video streams. The quality of the upscaled content of the client device may be monitored by the streaming servers such that the encoding parameters may be updated based on the monitored quality. In this way, the encoding operations of one or more streaming servers may be more effectively matched to the decoding and upscaling abilities of one or more client devise such that an increased number of client devices may be served by the streaming servers.

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