Extracting fluid from a video for efficient post-production
Extracting fluid from a video for efficient post-production
复制标题
从视频中提取流体以实现高效的后期制作
DOI：
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发表时间：
2012
期刊：
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通讯作者：
R. Onai
中科院分区：
文献类型：
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作者：
Makoto Okabe;K. Anjyo;R. Onai
我们提出了一种方法来提取流体从一个特殊的工作室外捕获的视频。由于这样的视频通常具有复杂的背景，并且流体以很大的透明度重叠，因此设计人员提取它们是一项困难且耗时的任务。我们的目标是开发一种有效的方法来解决这个问题：我们估计输入视频的背景，然后计算每帧的前景和alpha蒙版。我们的方法通过只观察在每帧中几乎没有运动的像素来估计背景。给定估计的背景，我们基于每个帧和估计的背景之间的每个像素处的色差来估计初始alpha蒙版。由于初始的alpha蒙版通常包含许多伪影，因此我们采用梯度域图像处理方法对其进行细化：我们的方法充分衰减不需要的梯度，然后将它们整合以恢复细化的alpha蒙版。前景解释了流体本身的颜色和纹理图案，也以类似的方式进行估计。我们证明了我们的方法能够从视频中提取流体，这是使用以前的方法难以实现的。
We propose a method to extract fluids from a video that is captured outside a special studio. Since such a video usually has a complex background and the fluids overlap with much transparency, it is a difficult, time-consuming task for a designer to extract them. Our goal is to develop an efficient method to solve the problem: we estimate the background of an input video, and then compute the foreground and alpha matte at each frame. Our method estimates the background by observing only pixels that have little motion at each frame. Given the estimated background, we estimate an initial alpha matte based on the color difference at every pixel between each frame and the estimated background. Since the initial alpha matte usually includes many artifacts, we employ the gradient-domain image processing approach to refine it: our method attenuates unrequired gradients adequately, and then integrate them to recover the refined alpha matte. The foreground, which explains about the color and texture pattern of the fluid itself, is also estimated in a similar manner. We demonstrate that our method enables to extract the fluids from a video, which were difficult to achieve using the previous methods.