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Automatic and Real-Time Video Stylization

机译:自动和实时视频风格化

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摘要

In this paper, we present an automatic, real-time video stylization framework that artistically stylizes video stream by using bilateral filter and soft color quantization. In this framework, firstly, we use a separable implementation of bilateral filter as an adaptive and iterative smoothing operation that selectively simplifies image color, leading to an abstracted look. Secondly, we perform a soft color quantization step on the abstracted video. Successively, some optional approaches are designed to generate different artistic styles. The framework is designed for a GPU-based, real-time implementation. We evaluate the effectiveness of our stylization framework with the experiment results.
机译:在本文中,我们介绍了一种自动实时视频风格化框架,通过使用双边滤波器和软颜色量化来艺术艺术程度体现视频流。在本框架中,我们使用双边滤波器的可分离实现作为自适应和迭代平滑操作,从而选择性地简化图像颜色,导致抽象的外观。其次,我们在抽象的视频上执行软颜色量化步骤。连续,某些可选方法旨在产生不同的艺术风格。该框架专为基于GPU的实时实现而设计的。我们评估了与实验结果的程式化框架的有效性。

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