Systems and methods for improving mode decisions in hardware video encoders

    公开(公告)号:US11700382B1

    公开(公告)日:2023-07-11

    申请号:US17518543

    申请日:2021-11-03

    摘要: An example disclosed system may include a hardware video encoding pipeline (HVEP), the HVEP that includes a prediction module that generates, using a primary prediction mode, a primary encode of a portion of a video stream, and using a secondary prediction mode, a secondary encode of the portion of the video stream. The HVEP may also include (1) a rate-distortion optimization (RDO) module that determines a primary cost associated with the primary encode and a secondary cost associated with the secondary encode, (2) a quality metric (QM) module that determines a primary QM associated with the primary encode and a secondary QM associated with the secondary encode, and (3) a decision module that selects, for an encoding of the video stream, at least one of the primary prediction mode and the secondary prediction mode based on the primary cost, the secondary cost, the primary QM, and the secondary QM.

    MOTION COMPENSATION MATCHING FOR VIDEO CODING

    公开(公告)号:US20190007693A1

    公开(公告)日:2019-01-03

    申请号:US15745267

    申请日:2016-09-13

    IPC分类号: H04N19/436 H04N19/513

    摘要: The present disclosure relates to a motion compensation matching method and system for video coding. The method comprises: a CPU extracting a current frame image and a reference frame image from a video to be processed and sending the extracted frame images to a GPU; the GPU performing interpolation process at least once on the reference frame image to obtain a plurality of interpolation images; the GPU dividing the current frame image to obtain a plurality of prediction blocks; the GPU, according to each of the prediction blocks, performing block matching search in the reference frame image and each of the interpolation images; according to a result of the block matching search, determining a motion vector of a desired image block of the current frame image. The present disclosure uses GPU to execute large amounts of computation for interpolation and division of the frame images and block matching search, and uses CPU to process a small amount of computation. Since GPU is used to process search, which can be the most complicated and the most energy-consuming part of the coding process, the large-scale concurrency of the graphics card can be sufficiently utilized, and thus the video coding speed can be significantly increased.