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Motion estimation using hierarchical phase plane correlation and block matching

机译:使用分层相平面相关和块匹配的运动估计

摘要

Motion estimation comprising performing hierarchical phase plane correlation 602 on image data of video frames to generate plurality of candidate motion vectors, performing block matching 614 to determine matching block, and determining motion vector. Two level hierarchical phase plane correlation may be used comprising global level and local level correlation 604. Correlation may comprise dividing image data into regions 603. Global correlation may comprise four regions and involve downscaling global regions to standard region size. Phase plane correlation may comprise applying windowing function 605, Discrete Fourier Transform 606, cross power spectrum 607, inverse DFT 608, and Fast Fourier Transform to generate a correlation plane, and determining correlation of peaks 609 to determine candidate motion vector 610. The DFT may be implemented using a radix-2 FFT. Block matching may comprise a motion vector selected in a previous motion estimation iteration, possibly modified by a modification vector based on a heuristic algorithm, or MV selected by blocks neighbouring the individual block based on median filter of three MVs. Block matching may comprise evaluating sum of absolute differences (SAD) between blocks. Consecutive video frames may comprise luminance data. This method and system may be used in High Efficiency Video Coding (HEVC).
机译:运动估计包括:对视频帧的图像数据执行分层相平面相关性602以生成多个候选运动矢量;执行块匹配614以确定匹配块;以及确定运动矢量。可以使用包括全局级别和局部级别相关性604的两级分层相平面相关性。相关性可以包括将图像数据划分为区域603。全局相关性可以包括四个区域,并且涉及将全局区域缩小为标准区域大小。相平面相关可以包括应用开窗函数605,离散傅立叶变换606,交叉功率谱607,逆DFT 608和快速傅立叶变换来生成相关平面,以及确定峰609的相关以确定候选运动矢量610。DFT可以使用基数2 FFT实现。块匹配可以包括在先前运动估计迭代中选择的运动矢量,可能由基于启发式算法的修改矢量进行修改,或者包​​括基于三个MV的中值滤波器由与单个块相邻的块选择的MV。块匹配可以包括评估块之间的绝对差之和(SAD)。连续视频帧可以包括亮度数据。此方法和系统可用于高效视频编码(HEVC)。

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