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Content-preserving zoom-in view generation for surveillance videos

机译：监视视频的保留内容的放大视图生成

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摘要

There are several zoom-in video display methods including full-zoom and fisheye view that magnify the regions of interest (ROIs). However, those methods usually discard or deform the remaining regions without considering their content. In this paper, we propose a method for generating a content-preserving zoom-in view which magnifies ROIs and at the same time preserves the content of the remaining regions. Targeting on surveillance videos, our method firstly extracts moving objects from every input frame as ROIs. Then, the importance score is calculated for each pixel in the input frame based on its content to determine where the deformation, which may cause the destruction of the content, should be avoided. Finally, a mapping problem from the input frame to the zoom-in view with respect to the importance score is formulated to deform less important regions more than the important ones. Experiments are conducted to study the effectiveness of considering the content importance. We also compare the results of our method with those of other methods, fisheye view and a method of using uniform scaling and seam carving.
机译：有几种放大视频显示方法，包括全缩放和鱼眼视图，可以放大感兴趣的区域（ROI）。然而，那些方法通常丢弃或变形其余区域而不考虑其内容。在本文中，我们提出了一种生成内容保留放大视图的方法，该方法可以放大ROI，同时保留其余区域的内容。针对监控视频，我们的方法首先从每个输入帧中提取运动对象作为ROI。然后，基于输入帧的内容为输入帧中的每个像素计算重要性分数，以确定应避免在哪里可能导致内容破坏的变形。最后，针对重要性得分制定了从输入帧到放大视图的映射问题，以使次要区域比重要区域变形更大。进行实验以研究考虑内容重要性的有效性。我们还将本方法的结果与其他方法（鱼眼视图）以及使用均匀缩放和接缝雕刻的方法的结果进行比较。

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