FRAME SELECTION FOR STREAMING APPLICATIONS
    2.
    发明公开

    公开(公告)号:US20240114162A1

    公开(公告)日:2024-04-04

    申请号:US17955734

    申请日:2022-09-29

    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.

    FRAME SELECTION FOR STREAMING APPLICATIONS

    公开(公告)号:US20240397077A1

    公开(公告)日:2024-11-28

    申请号:US18780242

    申请日:2024-07-22

    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.

    Frame selection for streaming applications

    公开(公告)号:US12047595B2

    公开(公告)日:2024-07-23

    申请号:US17955734

    申请日:2022-09-29

    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.

    DYNAMIC PATH SELECTION FOR PROCESSING THROUGH A MULTI-LAYER NEURAL NETWORK

    公开(公告)号:US20250111222A1

    公开(公告)日:2025-04-03

    申请号:US18375377

    申请日:2023-09-29

    Abstract: Performance of a neural network is usually a function of the capacity, or complexity, of the neural network, including the depth of the neural network (i.e. the number of layers in the neural network) and/or the width of the neural network (i.e. the number of hidden channels). However, improving performance of a neural network by simply increasing its capacity has drawbacks, the most notable being the increased computational cost of a higher-capacity neural network. Since modern neural networks are configured such that the same neural network is evaluated regardless of the input, a higher capacity neural network means a higher computational cost incurred per input processed. The present disclosure provides for a multi-layer neural network that allows for dynamic path selection through the neural network when processing an input, which in turn can allow for increased neural network capacity without incurring the typical increased computation cost associated therewith.

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