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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >Multiview side information creation for efficient Wyner-Ziv video coding: Classifying and reviewing
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Multiview side information creation for efficient Wyner-Ziv video coding: Classifying and reviewing

机译：多视图辅助信息创建，用于高效的Wyner-Ziv视频编码：分类和审阅

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摘要

In recent years, the interest in multiview video systems has increased. In these systems, a typical predictive coding approach exploits the inter-view correlation at a joint encoder, requiring the various cameras to communicate among them. However, many applications ask for simple sensing systems preventing the various cameras to communicate among them, and thus the adoption of a predictive coding approach. Wyner-Ziv (WZ) video coding is a promising solution for those applications since it is the WZ decoder task to (fully or partly) exploit the video redundancy. The rate-distortion (RD) performance of WZ video coding strongly depends on the quality of the so-called side information (51), which is a decoder estimate of the original frame to code. In multiview WZ (MV-WZ) video coding, the target is to exploit in the best way the available correlation not only in time, as for the monoview case, but also between views. Thus, the multiview SI results from the fusion of a temporally created SI and an inter-view created SI. In this context, the main objective of this paper is to propose a classification taxonomy to organize the many interview SI creation and SI fusion techniques available in the literature and to review the most relevant techniques in each class. The inter-view SI creation techniques are classified into two classes, notably matching and scene geometry based, while the SI fusion techniques are classified into three classes, notably time, view and time-view driven. After reviewing the most relevant inter-view SI creation and SI fusion techniques guided by the proposed classification taxonomy, conclusions are drawn about the current status quo, thus allowing to better identify the next research challenges in the multiview WZ video coding paradigm. (C) 2014 Elsevier B.V. All rights reserved.
机译：近年来，对多视点视频系统的兴趣增加了。在这些系统中，典型的预测编码方法利用联合编码器的视图间相关性，要求各种摄像机在它们之间进行通信。然而，许多应用要求简单的感测系统来防止各种相机在它们之间进行通信，并因此采用预测编码方法。 Wyner-Ziv（WZ）视频编码是那些应用程序的有希望的解决方案，因为WZ解码器的任务是（全部或部分）利用视频冗余。 WZ视频编码的速率失真（RD）性能在很大程度上取决于所谓的辅助信息（51）的质量，该辅助信息是要编码的原始帧的解码器估计。在多视图WZ（MV-WZ）视频编码中，目标是以最佳方式不仅在单视图情况下及时利用可用的相关性，而且在视图之间进行利用。因此，多视图SI是由时间上创建的SI和视图间创建的SI的融合产生的。在这种情况下，本文的主要目的是提出一种分类法，以组织文献中可用的许多采访SI创建和SI融合技术，并复习每个班级中最相关的技术。视图间SI创建技术被分为两类，特别是基于匹配和基于场景几何，而SI融合技术则被分为三类，特别是时间，视图和时间视图驱动。在回顾了建议的分类法指导下最相关的视图间SI创建和SI融合技术后，得出了有关当前现状的结论，从而可以更好地确定多视图WZ视频编码范例中的下一个研究挑战。 （C）2014 Elsevier B.V.保留所有权利。

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