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首页> 外文期刊>Journal of VLSI signal processing systems for signal, image, and video technology >Performance Analysis of HEVC Scalable Extension for Depth Maps
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Performance Analysis of HEVC Scalable Extension for Depth Maps

机译:深度映射HEVC可扩展扩展的性能分析

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High Efficiency Video Coding (HEVC) is actually the latest video standard that enables significant compression performance improvement in comparison with its predecessors. Scalable High Efficiency Video Coding (SHVC) and 3D High-Efficiency Video Coding (3D-HEVC) are extensions of HEVC hooked on recently emerged applications and issues. 3D-HEVC targets the monolayer compression of the specific multiview plus depth 3D video representation. It consists of multiple views and their associated depth maps that are required for synthesizing intermediate views in advanced free viewpoint applications. SHVC combines the compression efficiency and visual quality of HEVC, with the possibility of encoding different versions of a same video in a single bitstream. It is conceived to cope with the heterogeneity of networks and devices used in the transmission chain of texture videos. With the ongoing progess in equipments and technologies, the scalable multilayer coding is also solicited, not to say required, for depth maps. In comparison with 3D-HEVC, this paper shows how SHVC works for quality scalable depth maps compression over different base and enhancement layers quantization scenarios. Besides, this paper analyzes the SHVC efficiency for intermediate views that are synthesized from encoded depth maps. Thus we aim to provide support for upcoming works on depth map quality scalable encoding.
机译:高效视频编码(HEVC)实际上是最新的视频标准,与其前辈相比,实现了显着的压缩性能改善。可扩展的高效视频编码(SHVC)和3D高效视频编码(3D-HEVC)是HEVC挂钩最近出现的应用和问题的扩展。 3D-HEVC针对特定的多视图加深度3D视频表示的单层压缩。它由多个视图和它们相关的深度映射组成,该视图是在高级免费视点应用程序中合成中间视图所必需的。 SHVC将HEVC的压缩效率和视觉质量结合在一起,可以在单个比特流中编码不同版本的相同视频。它构思了应对纹理视频传输链中使用的网络和设备的异质性。随着设备和技术的正在进行的手推车,还征求可扩展的多层编码,而不是所需的深度图。与3D-HEVC相比,本文展示了SHVC如何为不同基础和增强层的质量可扩展深度映射压缩的工作原理。此外,本文分析了从编码深度图合成的中间视图的SHVC效率。因此,我们的目的是为即将到来的工作提供支持对深度地图质量可扩展编码。

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