Optimized edge order for de-blocking filter

    公开(公告)号:US11202102B2

    公开(公告)日:2021-12-14

    申请号:US16838132

    申请日:2020-04-02

    Abstract: A de-blocking filter includes a reconstructed memory that is configured to store reconstructed pixels corresponding to a current macroblock of a video image to be filtered. The current macroblock includes a set of sub-blocks, each sub-block having horizontal edges and vertical edges. An internal pixel buffer in the de-blocking filter is configured to store pixels corresponding to the set of sub-blocks from the reconstructed memory, and to store partially filtered pixels corresponding to a set of partially filtered macroblocks. An edge order controller in the de-blocking filter is configured to load the pixels corresponding to the set of sub-blocks into a filter engine from the internal pixel buffer, to filter the set of sub-blocks, such that, at least one horizontal edge is filtered before filtering all vertical edges of the set of sub-blocks.

    SYSTEMS, METHODS, AND APPARATUS TO ENABLE DATA AGGREGATION AND ADAPTATION IN HARDWARE ACCELERATION SUBSYSTEMS

    公开(公告)号:US20210209041A1

    公开(公告)日:2021-07-08

    申请号:US17139970

    申请日:2020-12-31

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein to enable data aggregation and pattern adaptation in hardware acceleration subsystems. In some examples, a hardware acceleration subsystem includes a first scheduler, a first hardware accelerator coupled to the first scheduler to process at least a first data element and a second data element, and a first load store engine coupled to the first hardware accelerator, the first load store engine configured to communicate with the first scheduler at a superblock level by sending a done signal to the first scheduler in response to determining that a block count is equal to a first BPR value and aggregate the first data element and the second data element based on the first BPR value to generate a first aggregated data element.

    BANDWIDTH CONTROLLED DATA SYNCHRONIZATION FOR IMAGE AND VISION PROCESSOR

    公开(公告)号:US20210055970A1

    公开(公告)日:2021-02-25

    申请号:US17012223

    申请日:2020-09-04

    Abstract: A hardware thread scheduler (HTS) is provided for a multiprocessor system. The HTS is configured to schedule processing of multiple threads of execution by resolving data dependencies between producer modules and consumer modules for each thread. Pattern adaptors may be provided in the scheduler that allows mixing of multiple data patterns across blocks of data. Transaction aggregators may be provided that allow re-using the same image data by multiple threads of execution while the image data remains in a given data buffer. Bandwidth control may be provided using programmable delays on initiation of thread execution. Failure and hang detection may be provided using multiple watchdog timers.

    Dense optical flow processing in a computer vision system

    公开(公告)号:US10467765B2

    公开(公告)日:2019-11-05

    申请号:US15638123

    申请日:2017-06-29

    Abstract: A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.

    Hierarchical Data Organization for Dense Optical Flow Processing in a Computer Vision System

    公开(公告)号:US20190005335A1

    公开(公告)日:2019-01-03

    申请号:US15638142

    申请日:2017-06-29

    Abstract: A computer vision system is provided that includes an image generation device configured to capture consecutive two dimensional (2D) images of a scene, a first memory configured to store the consecutive 2D images, a second memory configured to store a growing window of consecutive rows of a reference image and a growing window of consecutive rows of a current image, wherein the reference image and the current image are a pair of consecutive 2D images stored in the first memory, a third memory configured to store a sliding window of pixels fetched from the growing window of the reference image, wherein the pixels in the sliding window are stored in tiles, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for the pair of consecutive 2D images, wherein the DOFE uses the sliding window as a search window for pixel correspondence searches.

    METHOD AND APPARATUS OF HEVC DE-BLOCKING FILTER

    公开(公告)号:US20180192060A1

    公开(公告)日:2018-07-05

    申请号:US15853474

    申请日:2017-12-22

    Abstract: A method of de-blocking filtering a processed video is provided. The processed video includes a plurality of blocks and each block includes a plurality of sub-blocks. A current block of the plurality of blocks includes vertical edges and horizontal edges. The processed video further includes a set of control parameters and reconstructed pixels corresponding to the current block. A boundary strength index is estimated at the vertical edges and at the horizontal edges of the current block. The set of control parameters, the reconstructed pixels corresponding to the current block and partially filtered pixels corresponding to a set of adjacent sub-blocks are loaded. The vertical edges and the horizontal edges of the current block are filtered based on the boundary strength index and the set of control parameters such that a vertical edge of the current block is filtered before filtering at least one horizontal edge of the current block.

    Scheduling of External Block Based Data Processing Tasks on a Hardware Thread Scheduler

    公开(公告)号:US20180189102A1

    公开(公告)日:2018-07-05

    申请号:US15396172

    申请日:2016-12-30

    CPC classification number: G06F9/4812 G06F9/5027 G06F2209/5018

    Abstract: A data processing device is provided that includes a plurality of hardware data processing nodes, wherein each hardware data processing node performs a task, and a hardware thread scheduler including a plurality of hardware task schedulers configured to control execution of a respective task on a respective hardware data processing node of the plurality of hardware data processing nodes, and a proxy hardware task scheduler coupled to a data processing node external to the data processing device, wherein the proxy hardware task scheduler is configured to control execution of a task by the external data processing device, wherein the hardware thread scheduler is configurable to execute a thread of tasks, the tasks including the task controlled by the proxy hardware task scheduler and a first task controlled by a first hardware task scheduler of the plurality of hardware task schedulers.

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