AVATAR-BASED VIDEO ENCODING
    11.
    发明申请
    AVATAR-BASED VIDEO ENCODING 有权
    基于AVATAR的视频编码

    公开(公告)号:US20150213604A1

    公开(公告)日:2015-07-30

    申请号:US14127457

    申请日:2013-06-04

    Abstract: Techniques are disclosed for performing avatar-based video encoding. In some embodiments, a video recording of an individual may be encoded utilizing an avatar that is driven by the facial expression(s) of the individual. In some such cases, the resultant avatar animation may accurately mimic facial expression(s) of the recorded individual. Some embodiments can be used, for example, in video sharing via social media and networking websites. Some embodiments can be used, for example, in video-based communications (e.g., peer-to-peer video calls; videoconferencing). In some instances, use to the disclosed techniques may help to reduce communications bandwidth use, preserve the individual's anonymity, and/or provide enhanced entertainment value (e.g., amusement) for the individual, for example.

    Abstract translation: 公开了用于执行基于图像的视频编码的技术。 在一些实施例中,可以使用由个人的面部表情驱动的头像来编码个人的视频记录。 在某些这种情况下,所得到的化身动画可以准确地模拟记录的个人的面部表情。 一些实施例可以用于例如通过社交媒体和网络网站的视频共享。 一些实施例可以用于例如基于视频的通信(例如,对等视频通话;视频会议)中。 在某些情况下,例如,使用所公开的技术可以有助于减少个人的通信带宽使用,保留个人的匿名性和/或提供增强的娱乐价值(例如,娱乐)。

    Positional analysis using computer vision sensor synchronization

    公开(公告)号:US11383144B2

    公开(公告)日:2022-07-12

    申请号:US17093215

    申请日:2020-11-09

    Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

    MULTI-CAM BALL LOCATION METHOD AND APPARATUS

    公开(公告)号:US20210279896A1

    公开(公告)日:2021-09-09

    申请号:US17255837

    申请日:2018-09-28

    Abstract: A multi-camera architecture for detecting and tracking a ball in real-time. The multi-camera architecture includes network interface circuitry to receive a plurality of real-time videos taken from a plurality of high-resolution cameras. Each of the high-resolution cameras simultaneously captures a sports event, wherein each of the plurality of high-resolution cameras includes a viewpoint that covers an entire playing field where the sports event is played. The multi-camera architecture further includes one or more processors coupled to the network interface circuitry and one or more memory devices coupled to the one or more processors. The one or more memory devices includes instructions to determine the location of the ball for each frame of the plurality of real-time videos, which when executed by the one or more processors, cause the multi-camera architecture to simultaneously perform one of a detection scheme or a tracking scheme on a frame from each of the plurality of real-time videos to detect the ball used in the sports event and perform a multi-camera build to determine a location of the ball in 3D for the frame from each of the plurality of real-time videos using one of detection or tracking results for each of the cameras.

    POSITIONAL ANALYSIS USING COMPUTER VISION SENSOR SYNCHRONIZATION

    公开(公告)号:US20210069571A1

    公开(公告)日:2021-03-11

    申请号:US17093215

    申请日:2020-11-09

    Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.

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