VVC帧内预测解码器:特征改进与性能分析

Aymen Zayed, N. Belhadj, K. Khalifa, M. H. Bedoui
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引用次数: 1

摘要

如今,流媒体应用的需求很大,特别是由于covid-19(远程办公,在线教学,虚拟现实等)。此外,人工智能已经得到了广泛的应用,特别是在视频处理领域,因此高质量的视频可以提高这一应用的准确率。为了满足这些需求,通用视频编码标准(VVC)的出现与高效视频编码相比具有更高的压缩效率。该规范由一个高复杂度算法组成,由于采用了几种新的压缩技术,该算法缩短了处理时间,并将比特率降低了50%。在此背景下,我们提出在片上系统上实现该标准的内预测解码链。在这项工作中,我们强调了VVC特征的增强,我们提出了适合在PYNQ-Z2上实现VVC内预测解码器的方法,并提供了解码时间和功耗方面的分析。作为未来的工作,本研究有助于区分将成为硬件加速候选的块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VVC intra prediction decoder: Feature improvement and performance analysis
Nowadays, streaming applications have been in great demand, especially due to covid-19 (teleworking, online teaching, virtual reality, etc.). In addition, artificial intelligence has become widely used especially in video processing domains, so a video with high quality improves the accuracy rate of this application. To meet these needs, the Versatile Video Coding standard (VVC) has appeared to give a high compression efficiency compared to high-efficiency video coding. This norm consists of a high complexity algorithm that offers an improvement in processing time and decreases the bit rate by 50 % thanks to several new compression techniques. In this context, we propose the implementation of an intra prediction decoding chain of this standard on a system on chip. In this work, we highlight the VVC feature enhancements, we present the suitable method for VVC intra-prediction decoder implementation on the PYNQ-Z2, and we provide profiling in terms of decoding time and power consumption. As a future work, this study is helpful to distinguish the block that will be a candidate for a Hardware acceleration.
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