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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >Distributed Video Coding: Selecting the most promising application scenarios
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Distributed Video Coding: Selecting the most promising application scenarios

机译：分布式视频编码：选择最有前途的应用场景

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摘要

Distributed Video Coding (DVC) is a new video coding paradigm based on two major Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. Recently, practical DVC solutions have been proposed with promising results; however, there is still a need to study in a more systematic way the set of application scenarios for which DVC may bring major advantages. This paper intends to contribute for the identification of the most DVC friendly application scenarios, highlighting the expected benefits and drawbacks for each studied scenario. This selection is based on a proposed methodology which involves the characterization and clustering of the applications according to their most relevant characteristics, and their matching with the main potential DVC benefits.
机译：分布式视频编码（DVC）是一种新的视频编码范例，它基于两个主要的信息论结果：Slepian-Wolf和Wyner-Ziv定理。最近，已经提出了实用的DVC解决方案，并取得了可喜的成果。但是，仍然需要以更系统的方式研究DVC可能带来主要优势的一组应用场景。本文旨在为确定最DVC友好的应用程序场景做出贡献，重点介绍每种研究场景的预期优点和缺点。该选择基于一种提议的方法，该方法包括根据应用程序的最相关特征以及与主要DVC潜在优势的匹配，对应用程序进行表征和聚类。

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