IMAGE PROCESSING ACCELERATOR
    1.
    发明申请

    公开(公告)号:US20200210351A1

    公开(公告)日:2020-07-02

    申请号:US16234508

    申请日:2018-12-27

    Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

    IMAGE PROCESSING ACCELERATOR
    2.
    发明申请

    公开(公告)号:US20220114120A1

    公开(公告)日:2022-04-14

    申请号:US17558252

    申请日:2021-12-21

    Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

    IMAGE PROCESSING ACCELERATOR
    3.
    发明申请

    公开(公告)号:US20200379928A1

    公开(公告)日:2020-12-03

    申请号:US16995364

    申请日:2020-08-17

    Abstract: A processing accelerator includes a shared memory, and a stream accelerator, a memory-to-memory accelerator, and a common DMA controller coupled to the shared memory. The stream accelerator is configured to process a real-time data stream, and to store stream accelerator output data generated by processing the real-time data stream in the shared memory. The memory-to-memory accelerator is configured to retrieve input data from the shared memory, to process the input data, and to store, in the shared memory, memory-to-memory accelerator output data generated by processing the input data. The common DMA controller is configured to retrieve stream accelerator output data from the shared memory and transfer the stream accelerator output data to memory external to the processing accelerator; and to retrieve the memory-to-memory accelerator output data from the shared memory and transfer the memory-to-memory accelerator output data to memory external to the processing accelerator.

    SPARSE OPTICAL FLOW SUPPORT IN AN OPTICAL FLOW SYSTEM

    公开(公告)号:US20190114786A1

    公开(公告)日:2019-04-18

    申请号:US15784285

    申请日:2017-10-16

    CPC classification number: G06T7/223 G06T7/248 G06T7/269 G06T2207/10016

    Abstract: An optical flow system includes a binary mask generation circuit and an optical flow circuit. The binary mask generation circuit is configured to receive a plurality of points of interest from a captured image that contains an array of pixels arranged as rows and columns and includes width lines that correspond to the rows and height lines that correspond to the columns. The binary mask generation circuit is also configured to generate a binary mask based on the plurality of points of interest. The binary mask includes a representation of a subset of the plurality of points of interest. The optical flow circuit is configured to receive the binary mask and generate an optical flow map of the subset of the plurality of points of interest.

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