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A distributed coding-based content-aware multi-view video system

机译:基于分布式编码的内容感知多视图视频系统

摘要

Compared to traditional mono-view systems, stereo or in general multi-view systems provide interesting additional information about a captured scene, which can significantly facilitate content extraction. This property makes them very useful for many emerging applications, such as 3D TV and video surveillance. However, the use of such systems has been limited so far because of the processing time and bandwidth requirements for multi-view data. These major drawbacks can only be relieved by the development of dedicated algorithms. In this paper, we present an efficient, flexible and content-aware coding method for a multi-view video system. The framework consists of a central processor and camera, completed by a flexible number of smart Wyner-Ziv cameras. The latter ones provide a content-aware representation of their viewpoint, thus greatly reducing the amount of data to be sent to the central processor. By employing Distributed Video (DV) coding, i.e. joint decoding of the independently encoded frames of the different cameras, we achieve good coding efficiency without inter-camera communication.
机译:与传统的单视图系统相比,立体声或一般的多视图系统提供了有关捕获场景的有趣附加信息,可以极大地促进内容提取。此属性使它们对于许多新兴应用(例如3D电视和视频监控)非常有用。但是,由于多视图数据的处理时间和带宽要求,到目前为止,此类系统的使用受到了限制。这些主要缺点只能通过开发专用算法来消除。在本文中,我们提出了一种用于多视图视频系统的高效,灵活和内容感知的编码方法。该框架由中央处理器和摄像头组成,并由大量智能Wyner-Ziv摄像头完成。后者提供了他们观点的内容感知表示,因此大大减少了要发送到中央处理器的数据量。通过采用分布式视频(DV)编码,即对不同摄像机的独立编码帧进行联合解码,我们可以在不进行摄像机间通信的情况下实现良好的编码效率。

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