Space-Time Steering Kernel Regression for Video
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1 Space-Time Steering Kernel Regression for Video Version 1 Hiroyuki Takeda Multi-Dimensional Signal Processing Laboratory University of California, Santa Cruz Sep
2 Directory Structure Kernel Regression 3D The directory contains the 3-D 3 D classic and steering kernel regression for video processing. Utilities The directory contains some utility functions. Examples The directory contains some video upscaling example, which show how to use the 3-D 3 D kernel regression functions. MotionToolbox_Hiro The directory contains the motion estimation functions. Sep
3 Directory Structure Kernel Regression 3D The directory contains the 3-D 3 D classic and steering kernel regression for video processing. Utilities The directory contains some utility functions. Examples The directory contains some video upscaling example, which show how to use the 3-D 3 D kernel regression functions. MotionToolbox_Hiro The directory contains the motion estimation functions. Sep
4 ckr2_regular3d Description Second order classic kernel regression in 3-D3 Usage [z, zx1, zx2, zx3] = ckr2_regular3d(y, h, rs, rt, ksize) Returns z : the estimated video zx1, zx2, zx3 : the estimated gradients along x1, x2, and x3 directions Parameters y : the input video h : the global smoothing parameter rs: : the spatial upscaling factor rt : the temporal upscaling factor ksize : the support size of the kernel function Sep
5 skr2_regular3d Description Second order steering kernel regression in 3-D3 Usage [z, zx1, zx2, zx3] = skr2_regular3d(y, h, C, rs, rt, ks, kt) Returns z : the estimated video zx1, zx2, zx3 : the estimated gradients along x1, x2, and x3 directions Parameters y : the input video h : the global smoothing parameter C : the steering matrices rs: : the spatial upscaling factor rt : the temporal upscaling factor ks : the spatial support size of the kernel function kt : the temporal support size of the kernel function Sep
6 ckr2_motioncomp3d_5frames Description Second order classic kernel regression in 3-D 3 D with motion compensation Usage [z zx1 zx2 zx3] = ckr2_motioncomp3d_5frames(y, mv, rs, h, ksize) Returns z : the estimated image zx1, zx2, zx3 : the estimated gradient images along x1, x2, and x3 directions Parameters y : the input video mv : motion vectors h : the global smoothing parameter rs: : the spatial upscaling factor ksize : the spatial support size of the kernel function Note This function estimate a pixel with the local analysis window, ksize x ksize x 5 frames. Sep
7 skr2_motioncomp3d_5frames Description Second order classic kernel regression in 3-D 3 D with motion compensation Usage [z zx1 zx2 zx3] = skr2_motioncomp3d_5frames(y, mv, rs, h, C, ksize, tshift) Returns z : the estimated image zx1, zx2, zx3 : the estimated gradient images along x1, x2, and x3 directions Parameters Note y : the input video mv : motion vectors h : the global smoothing parameter C : the steering matrices rs: : the spatial upscaling factor ksize : the spatial support size of the kernel function tshift : the shift parameter which shifts the temporal estimating positions. (1<= tshift < 1) This function estimate a pixel with the local analysis window, ksize x ksize x 5 frames. Sep
8 steering3d Description the function estimates steering matrices for 3-D 3 D Steering kernel regression Usage C = steering3d(zx1, zx2, zx3, ws, wt, lambda, alpha, rs, rt) Returns C : the steering matrices Parameters zx1, zx2, zx3 : the gradients along x1, x2, and x3-axes ws : the spatial window size of the estimation of steering matrices wt : the temporal window size of the estimation of steering matrices lambda : the regularization parameter alpha : the structure sensitivitity rs : the spatial downsampling factor rt : the temporal downsampling factor Sep
9 Directory Structure Kernel Regression 3D The directory contains the 3-D 3 D classic and steering kernel regression for video processing. Utilities The directory contains some utility functions. Examples The directory contains some video upscaling example, which show how to use the 3-D 3 D kernel regression functions. MotionToolbox_Hiro The directory contains the motion estimation functions. Sep
10 Examples 8 examples are available to show how to use the kernel regression functions. Stefan_3DSKR_motioncomp.m Space-time upscaling example of Foreman video using the 3-3 D steering kernel regression with motion compensation. Foreman_3DSKR_motioncomp.m Space-time upscaling example of Foreman video using the 3-3 D steering kernel regression with motion compensation. Sep
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