SYSTEM AND METHODS FOR PARALLEL PROCESSING MOTION ESTIMATION OF DIGITAL VIDEOS
    1.
    发明申请
    SYSTEM AND METHODS FOR PARALLEL PROCESSING MOTION ESTIMATION OF DIGITAL VIDEOS 审中-公开
    用于数字视频的并行处理运动估计的系统和方法

    公开(公告)号:WO2017210601A1

    公开(公告)日:2017-12-07

    申请号:PCT/US2017/035749

    申请日:2017-06-02

    Applicant: STC.UNM

    Abstract: An AM-FM representation is used to derive AM and FM based equations that can be applied to two consecutive frames in parallel to derive motion estimates. The multidimensional AM-FM representations provide general representations of non-stationary content in digital images. The AM-FM estimate captures single images and features of a video that can lead to different applications in image and video analysis, for example, computer-aided diagnosis in medical applications or monitoring micro-movements of rocky material in the pit slopes.

    Abstract translation: AM-FM表示用于导出基于AM和FM的方程式,可以将这些方程式并行应用于两个连续帧以导出运动估计值。 多维AM-FM表示提供数字图像中非平稳内容的一般表示。 AM-FM估计捕获视频的单个图像和特征,这可以导致图像和视频分析中的不同应用,例如医学应用中的计算机辅助诊断或监测坑斜坡中岩石材料的微移动。 p>

    SYSTEM AND METHODS FOR THE COMPUTATION OF THE FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM ON GPUs AND CPUs
    2.
    发明申请
    SYSTEM AND METHODS FOR THE COMPUTATION OF THE FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM ON GPUs AND CPUs 审中-公开
    用于在GPU和CPU上计算前向和反向离散周期性氡变换的系统和方法

    公开(公告)号:WO2017106606A2

    公开(公告)日:2017-06-22

    申请号:PCT/US2016/067110

    申请日:2016-12-16

    Applicant: STC.UNM

    CPC classification number: G06F9/5066 G01V2210/46 G06T11/006

    Abstract: Fast and a scalable algorithms and methods adaptable to available resources for computing (1) the DPRT on multicore CPUs by distributing the computation of the DPRT primary directions among the different cores, and (2) the DPRT on GPUs using parallel, distributed, and synchronized ray computations among the GPU cores with "ray" referring to one of the sums required for computing the DPRT or its inverse along a prime direction.

    Abstract translation: 快速且可扩展的算法和方法适用于计算(1)通过在不同核心之间分配DPRT主方向的计算的多核CPU上的DPRT,以及(2)DPRT在 在GPU核心之间使用并行,分布式和同步光线计算的GPU具有“射线” 指的是按照主要方向计算DPRT或其倒数所需的总和之一。

    SYSTEM AND METHODS FOR COMPUTING 2-D CONVOLUTIONS AND CROSS-CORRELATIONS
    3.
    发明申请
    SYSTEM AND METHODS FOR COMPUTING 2-D CONVOLUTIONS AND CROSS-CORRELATIONS 审中-公开
    用于计算二维卷积和互相关的系统和方法

    公开(公告)号:WO2017106603A1

    公开(公告)日:2017-06-22

    申请号:PCT/US2016/067102

    申请日:2016-12-16

    Applicant: STC.UNM

    CPC classification number: G06K9/522 G06F17/153 G06K9/00986 G06K9/4642

    Abstract: Fast and scalable architectures and methods adaptable to available resources, that (1) compute 2-D convolutions using 1-D convolutions, (2) provide fast transposition and accumulation of results for computing fast cross-correlations or 2-D convolutions, and (3) provide parallel computations using pipelined 1-D convolvers. Additionally, fast and scalable architectures and methods that compute 2-D linear convolutions using Discrete Periodic Radon Transforms (DPRTs) including the use of scalable DPRT, Fast DPRT, and fast 1-D convolutions.

    Abstract translation: (1)使用1-D卷积计算2-D卷积,(2)提供用于计算快速互相关的结果的快速换位和积累 或2-D卷积,以及(3)使用流水线一维卷积器提供并行计算。 此外,使用离散周期氡变换(DPRT)计算二维线性卷积的快速可扩展架构和方法,包括使用可扩展的DPRT,快速DPRT和快速一维卷积。

    SYSTEM AND METHODS FOR JOINT AND ADAPTIVE CONTROL OF RATE, QUALITY, AND COMPUTATIONAL COMPLEXITY FOR VIDEO CODING AND VIDEO DELIVERY
    4.
    发明申请
    SYSTEM AND METHODS FOR JOINT AND ADAPTIVE CONTROL OF RATE, QUALITY, AND COMPUTATIONAL COMPLEXITY FOR VIDEO CODING AND VIDEO DELIVERY 审中-公开
    用于视频编码和视频传送的速率,质量和计算复杂度的联合和自适应控制的系统和方法

    公开(公告)号:WO2017023829A1

    公开(公告)日:2017-02-09

    申请号:PCT/US2016/044942

    申请日:2016-07-31

    Applicant: STC.UNM

    Abstract: System and methods for the joint control of reconstructed video quality, computational complexity and compression rate for intra-mode and inter-mode video encoding in HEVC. The invention provides effective methods for (i) generating a Pareto front for intra-coding by varying CTU parameters and the QP, (ii) generating a Pareto front for inter-coding by varying GOP configurations and the QP, (iii) real-time and offline Pareto model front estimation using regression methods, (iv) determining the optimal encoding configurations based on the Pareto model by root finding and local search, and (v) robust adaptation of the constraints and model updates at both the CTU and GOP levels.

    Abstract translation: HEVC中模内和模式间视频编码的重构视频质量,计算复杂度和压缩率共同控制的系统和方法。 本发明提供了有效的方法,用于(i)通过改变CTU参数和QP生成用于帧内编码的帕累托前沿,(ii)通过改变GOP​​配置和QP来生成用于帧间编码的帕累托前沿,(iii)实时 和使用回归方法的离线帕累托模型前向估计,(iv)基于通过根发现和局部搜索的帕累托模型确定最佳编码配置,以及(v)在CTU和GOP级别的约束和模型更新的鲁棒适应。

    SYSTEM AND METHODS FOR COMPUTING FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM
    5.
    发明申请
    SYSTEM AND METHODS FOR COMPUTING FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM 审中-公开
    用于计算前向和反向离散周期性RADON变换的系统和方法

    公开(公告)号:WO2015095064A1

    公开(公告)日:2015-06-25

    申请号:PCT/US2014/070371

    申请日:2014-12-15

    Applicant: STC.UNM

    Abstract: A fast and a scalable approach for computing the forward and inverse DPRT that uses: (i) a parallel array of fixed-point adder trees to compute the additions, (ii) circular shift registers to remove the need for accessing external memory components, (iii) an image block-based approach to DPRT computation that can fit the proposed architecture to available resources, and (iv) fast transpositions that are computed in one or a few clock cycles that do not depend on the size of the input image.

    Abstract translation: 用于计算正向和反向DPRT的快速和可扩展的方法,其使用:(i)用于计算加法的定点加法器树的并行阵列,(ii)循环移位寄存器以消除访问外部存储器组件的需要, iii)基于图像块的DPRT计算方法,其可以将所提出的架构适合于可用资源,以及(iv)在不依赖于输入图像的大小的一个或几个时钟周期内计算的快速转置。

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