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3D from Compressed 2D Video

机译:压缩2D视频中的3D

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摘要

In this paper, we present an efficient method to synthesize 3D video from compressed 2D video. The 2D video is analyzed by computing frame-by-frame motion maps. For this computation, MPEG motion vectors extraction was performed. Using the extracted motion vector maps, the video undergoes analysis and the frames are segmented to provide object-wise depth ordering. The frames are then used to synthesize stereo pairs. This is performed by resampling the video frames on a grid that is governed by a corresponding depth-map. In order to improve the quality of the synthetic video, as well as to enable 2D viewing where 3D visualization is not possible, several techniques for image enhancement are used. In our test case, anaglyph projection was selected as the 3D visualization method, as the method is mostly suited to standard displays. The drawback of this method is ghosting artifacts. In our implementation we minimize these unwanted artifacts by modifying the computed depth-maps using non-linear transformations. Defocusing of one anaglyph color component was also used to counter such artifacts. Our results show that the suggested methods enable synthesis of high quality 3D videos in real-time.
机译:在本文中,我们提出了一种从压缩的2D视频合成3D视频的有效方法。通过计算逐帧运动图来分析2D视频。为了进行该计算,执行了MPEG运动矢量提取。使用提取的运动矢量图,对视频进行分析,并对帧进行分段以提供按对象的深度排序。然后将这些帧用于合成立体声对。这是通过在由相应深度图控制的网格上对视频帧重新采样来执行的。为了提高合成视频的质量,以及在不可能进行3D可视化的情况下实现2D观看,使用了多种图像增强技术。在我们的测试案例中,选择立体浮雕投影作为3D可视化方法,因为该方法最适合标准显示。该方法的缺点是重影伪影。在我们的实现中,我们通过使用非线性变换修改计算的深度图来最大程度地减少这些不必要的伪像。一种浮雕彩色成分的散焦也可以用来抵消这种伪影。我们的结果表明,所建议的方法可以实时合成高质量3D视频。

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