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    Adaptation of presentation speed
    1.
    发明授权
    Adaptation of presentation speed 有权

    公开(公告)号：US10319072B2

    公开(公告)日：2019-06-11

    申请号：US15727915

    申请日：2017-10-09

    Applicant: GOOGLE LLC

    Inventor： Adrian Grange ,  Jamieson Brettle

    IPC: G06F3/00 ,  G06F3/01 ,  G06T3/20 ,  G06F3/16

    Abstract: Systems and methods are disclosed for adaptation of presentation speed for content presentation (e.g., audio content presentation). For example, methods may include obtaining an indication of motion in a space; adjusting a presentation speed based on the indication of motion; and presenting a content item associated with a location in the space, wherein the content item is presented using the adjusted presentation speed.

    ADAPTATION OF PRESENTATION SPEED
    3.
    发明申请
    ADAPTATION OF PRESENTATION SPEED 审中-公开

    公开(公告)号：US20190108614A1

    公开(公告)日：2019-04-11

    申请号：US15727915

    申请日：2017-10-09

    Applicant: GOOGLE LLC

    Inventor： Adrian Grange ,  Jamieson Brettle

    IPC: G06T3/20 ,  G06F3/01 ,  G06F3/16

    Abstract: Systems and methods are disclosed for adaptation of presentation speed for content presentation (e.g., audio content presentation). For example, methods may include obtaining an indication of motion in a space; adjusting a presentation speed based on the indication of motion; and presenting a content item associated with a location in the space, wherein the content item is presented using the adjusted presentation speed.

    VIDEO COMPRESSION THROUGH MOTION WARPING USING LEARNING-BASED MOTION SEGMENTATION
    4.
    发明申请
    VIDEO COMPRESSION THROUGH MOTION WARPING USING LEARNING-BASED MOTION SEGMENTATION 审中-公开

    公开(公告)号：US20190261016A1

    公开(公告)日：2019-08-22

    申请号：US15898532

    申请日：2018-02-17

    Applicant: GOOGLE LLC

    Inventor： Yuxin Liu ,  Adrian Grange

    IPC: H04N19/527 ,  H04N19/172 ,  H04N19/176 ,  H04N19/61 ,  G06N3/08 ,  G06T7/11

    Abstract: Regions for texture-based coding are identified using a spatial segmentation and a motion flow segmentation. For frames of a group of frames in a video sequence, a frame is segmented using a first classifier into at least one of a texture region or a non-texture region of an image in the frame. Then, the texture regions of the group of frames are segmented using a second classifier into a texture coding region or a non-texture coding region. The second classifier uses motion across the group of frames as input. Each of the classifiers is generated using a machine-learning process. Blocks of the non-texture region and the non-texture coding region of the current frame are coded using a block-based coding technique, while blocks of the texture coding region are coded using a coding technique that is other than the block-based coding technique.

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