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A Distributed Coding-Based Extension of a Mono-View to a Multi-View Video System

机译:基于分布式编码的单视点到多视点视频系统的扩展

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Multi-view video systems provide 3D information about the captured scene. This 3D information can be useful for many emerging applications, e.g. 3D TV or virtual reality. However, many current video systems consist only of one camera and consequently do not capture the 3D content of a scene. In this paper, we therefore present an efficient, flexible and low-complexity method for extending an existing mono video system to a 3D system. The main idea is to develop a coding framework that starts from a single camera and that can be flexibly extended by low-complexity cameras to capture 3D video data. These cameras do not perform any motion or disparity estimation, but still good coding efficiency is achieved by relying on Distributed Video (DV) coding principles, i.e. jointly decoding of the independently encoded frames of the multi-view cameras. If we compare our coding results with the results for low-complexity DV coding of a single video, then higher efficiency is achieved since not only the motion between the frames of the video but also disparity between different views of the array of cameras is exploited at the decoder.
机译:多视图视频系统提供有关捕获场景的3D信息。该3D信息对于许多新兴应用可能非常有用,例如3D电视或虚拟现实。但是,许多当前的视频系统仅由一个摄像机组成,因此无法捕获场景的3D内容。因此,在本文中,我们提出了一种有效,灵活且低复杂度的方法,用于将现有的单声道视频系统扩展到3D系统。主要思想是开发一种编码框架,该编码框架从单个摄像头开始,并且可以通过低复杂度的摄像头灵活扩展以捕获3D视频数据。这些相机不执行任何运动或视差估计,但是仍然依靠分布式视频(DV)编码原理,即联合解码多视点相机的独立编码帧来实现良好的编码效率。如果我们将编码结果与单个视频的低复杂度DV编码的结果进行比较,则可以实现更高的效率,因为不仅利用了视频帧之间的运动,而且还利用了摄像机阵列不同视图之间的视差解码器。

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