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A novel architecture for parallel multi-view HEVC decoder on mobile device

机译:移动设备上并行多视图HEVC解码器的新颖架构

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摘要

The multi-view HEVC (MV-HEVC) extension was finalized in July of 2014 by the Moving Picture Experts Group and the Video Coding Experts Group. Recently, multi-view videos based on stereo representations are becoming widely popular. Also, a variety of multimedia contents are now available for mobile devices. A real-time multi-view video decoder is therefore needed. In mobile devices, a real-time decoding multi-view video is difficult because of the increasing number of views, spatial resolutions, and limited speed of the processors on mobile platforms. In this paper, we propose a novel architecture for a real-time decoder in mobile devices. The proposed MV-HEVC decoder uses parallel-optimized multi-view video decoding with multi-threading, using advanced reduced instruction set computer machine (ARM) Cortex multi-core processors. Moreover, it is optimized in single instruction multiple data for an ARM platform. The proposed multi-core decoding architectures enable multi-threading with minimum processing overhead. Experimental results show that the proposed multi-view video coding increased the speed by around 2.4–4.8 times in the ARM platform compared to MV-HEVC.
机译:运动图像专家组和视频编码专家组于2014年7月完成了多视图HEVC(MV-HEVC)扩展。近来,基于立体表示的多视点视频正变得广泛流行。而且,各种多媒体内容现在可用于移动设备。因此,需要实时的多视点视频解码器。在移动设备中,由于视图数量的增加,空间分辨率以及移动平台上处理器速度的限制,难以实时解码多视图视频。在本文中,我们提出了一种用于移动设备中实时解码器的新颖架构。拟议的MV-HEVC解码器使用具有高级精简指令集计算机(ARM)Cortex多核处理器的多线程并行优化多视图视频解码。此外,针对ARM平台在单指令多数据中进行了优化。所提出的多核解码体系结构以最少的处理开销实现了多线程。实验结果表明,与MV-HEVC相比,所提出的多视图视频编码在ARM平台上将速度提高了约2.4-4.8倍。

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