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Fast Binary Pyramid Motion Estimation

机译:快速二元金字塔运动估计

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摘要

A Fast Binary Pyramid Motion Estiamtion (FBPME) algorithm is presented in this paper. The proposed FBPME scheme is based on the representation of set of binary features in terms of multiresolution layers, XOR Boolean block matching and N-scale tiling search scheme. Each video frame is converted into a pyramid structure of K-1 binary layers with resoltuion decimation plus one integer layer at the lowest resolution. At the lowest resolution layer, the N-scale tiling search is performed to select initial motion vector candidates. Motion vector fields are gradually refined with the XOR Boolean block matching criterion and the N-scale tiling search schemes in higher binary layers. FBPME performs several thousands times faster than the conventional full search block matching scheme at the same PSNR performance and visual quality. It also dramatically reduces the bus bandwidth and on-chip memory requirement. Moreover, hardware complexity is low due to its binary nature.
机译:本文提出了一种快速二元金字塔运动估计(FBPME)算法。提出的FBPME方案基于多分辨率层,XOR布尔块匹配和N尺度平铺搜索方案方面的二进制特征集表示。每个视频帧被转换为具有分辨率抽取的K-1二进制层的金字塔结构,再加上一个最低分辨率的整数层。在最低分辨率层,执行N尺度平铺搜索以选择初始运动矢量候选。运动矢量字段通过XOR布尔块匹配标准和N阶切片搜索方案在较高的二进制层中逐渐完善。在相同的PSNR性能和视觉质量下,FBPME的执行速度比常规的完整搜索块匹配方案快数千倍。它还大大降低了总线带宽和片上存储器需求。此外,由于其二进制性质,硬件复杂度较低。

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