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XML-based Exploitation of Region of Interest Scalability in Scalable Video Coding

机译:可扩展视频编码中基于XML的兴趣区可扩展性开发

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The use of Regions Of Interest (ROIs) is a useful concept for many application scenarios, especially for those applications that are deployed in heterogeneous multimedia environments. In this paper, we show how Flexible Macroblock Ordering can be used in the scalable extension of the H.264/AVC specification in order to define the ROIs in the coded bitstream. Furthermore, we introduce an XML-driven adaptation framework based on the MPEG-21 Bitstream Syntax Description Language in order to implement the ROI extraction process. This framework gives us the opportunity to adapt scalable bitstreams by using an engine that has no knowledge of the underlying coding format. From the performance analysis of our adaptation framework, we can conclude that the ROIs can be extracted in the XML domain and that the ROIs in the adapted bitstream are still intact without quality degradation. Furthermore, the traditional drifting problem caused by the ROI extraction can be neglected. Finally, we show that the adaptation process in the XML domain can be executed in real time.
机译:感兴趣区域(ROI)的使用对于许多应用程序场景都是有用的概念,尤其是对于在异构多媒体环境中部署的那些应用程序而言。在本文中,我们展示了如何在H.264 / AVC规范的可扩展扩展中使用灵活宏块排序,以便在编码比特流中定义ROI。此外,我们引入了基于MPEG-21位流语法描述语言的XML驱动的自适应框架,以实现ROI提取过程。该框架为我们提供了使用不了解底层编码格式的引擎来调整可伸缩比特流的机会。从我们的适应框架的性能分析中,我们可以得出结论,可以在XML域中提取ROI,并且适应后的比特流中的ROI仍然完整无损,而不会降低质量。此外,可以忽略由ROI提取引起的传统漂移问题。最后,我们证明了XML领域中的适应过程可以实时执行。

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