Real-Time Video Matting Based on Bilayer Segmentation
Real-Time Video Matting Based on Bilayer Segmentation
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DOI：
10.1007/978-3-642-12304-7_46
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发表时间：
2009-09
期刊：
影响因子：
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通讯作者：
V. Pham;Keita Takahashi;T. Naemura
中科院分区：
文献类型：
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作者：
V. Pham;Keita Takahashi;T. Naemura
目前大多数视频抠图方法都是离线执行的，计算成本很高，并且需要针对多个关键帧进行许多用户输入。在本文中，我们提出了一种在线视频抠图方法，运行在实时的基础上双层分割。对于该方法的第一步，我们介绍了一个准确的双层分割方法提取的前景区域从背景中使用颜色似然传播。对于第二步，我们根据分割结果执行alpha-marting。为了实现实时处理，我们通过使用下采样和智能初始化来修改传统的贝叶斯抠图方法，在保持质量的同时将计算速度提高了5倍。在不同测试序列上的实验结果表明了该方法的有效性。
Most current video matting methods perform off-line with a high calculation cost and require many user inputs for multiple key frames. In this paper, we present an online video matting method that runs in real-time based on bilayer segmentation. For the first step of the method, we introduce an accurate bilayer segmentation method for extracting the foreground region from the background using color likelihood propagation. For the second step, we perform alpha-matting based on the segmentation result. To enable real-time processing, we modify the conventional Bayesian matting method by using down-sampling and smart initialization, which increase the calculation speed by 5 times while maintaining the quality. Experimental results on various test sequences show the effectiveness of our method.