Live and low energy VVC Video Decoding powered by the OpenVVC Decoder on ARM Platform

Ibrahim Farhat, Pierre-Loup Cabarat, W. Hamidouche, Patrice Angot, Philipe Gonon, D. Ménard
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Abstract

This demonstration showcases the potential of open-source software implementation for the new versatile video coding (VVC) standard, OpenVVC. The most complex VVC tools were optimized for ARM-type architectures using data parallelism through SIMD instructions. The demonstration has been tested on the NVIDIA Jetson AGX Xavier and on a NVIDIA SHIELD Android TV which showcased real-time decoding for FHD and HD video resolutions. By combining extensive data level parallelism with frame level parallelism, OpenVVC is able to maintain a remarkably low memory and energy consumption while achieving real-time decoding of videos with high resolution. These features present a great advantage for its integration on embedded devices with low computing and memory resources.
实时和低能耗的VVC视频解码由ARM平台上的OpenVVC解码器提供支持
这个演示展示了开源软件实现新的通用视频编码(VVC)标准OpenVVC的潜力。最复杂的VVC工具通过SIMD指令使用数据并行性,针对arm类型的体系结构进行了优化。该演示已在NVIDIA Jetson AGX Xavier和NVIDIA SHIELD Android TV上进行了测试,该TV展示了FHD和HD视频分辨率的实时解码。通过将广泛的数据级并行性与帧级并行性相结合,OpenVVC能够在实现高分辨率视频实时解码的同时保持非常低的内存和能耗。这些特性为其集成在计算和内存资源较低的嵌入式设备上提供了很大的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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