利用LCEVC增强SVT-AV1,改善质量周期权衡,增强VOD转码的可持续性

Guendalina Cobianchi, G. Meardi, Stergios Poularakis, Alexei Walisiewicz, Omran Abdelkafi, F. Ben Amara, F. Kossentini, Cosmin Stejerean, Hassene Tmar
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引用次数: 1

摘要

压缩性能和编码复杂性之间的权衡是软件视频编码的关键,随着可持续性压力的增加,更是如此。先前的工作“面向VOD应用更好的SVT-AV1质量周期权衡”[1]描述了在凸船体框架内使用动态优化器(DO)算法评估压缩效率与循环权衡的三种方法[2][3]用于VOD应用。与此同时,新的视频编解码器增强器LCEVC(低复杂度增强视频编码)[4],旨在提供速度-质量权衡的收益,最近已被标准化为MPEG-5 Part 2。LCEVC的核心思想是使用任意视频编码标准(如AV1)作为较低分辨率的基本编码器,然后将解码后的低分辨率输出与残差数据的最多两个低复杂度重建增强子层相结合,减少伪影,重建出全分辨率输出。本文首先将LCEVC应用于SVT-AV1[5],以及x264[6]和x265[7],同时使用[1]中提出的两种方法来评估由此产生的压缩效率与周期权衡。然后讨论了使用AV1软件解码时,LCEVC对更高的播放速度和更低的电池功耗的好处。结果表明,使用离散凸包方法的快速编码参数选择,LCEVC改善了所有测试编解码器和整个复杂性范围内的质量周期权衡。在SVT-AV1的情况下,根据VMAF_NEG[8],在达到相同质量水平的情况下,LCEVC的计算量减少了约40%。LCEVC还扩大了能够播放高清以及使用AV1编码的高帧率内容的移动设备的集合,并且相对于最先进的AV1软件解码,将移动电池寿命延长了50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing SVT-AV1 with LCEVC to improve quality-cycles trade-offs and enhance sustainability of VOD transcoding
The trade-offs between compression performance and encoding complexity are key in software video encoding, even more so with increasing pressure on sustainability. Previous work “Towards much better SVT-AV1 quality-cycles tradeoffs for VOD applications” [1] described three approaches of evaluating compression efficiency vs cycles trade-offs within a convex-hull framework using the Dynamic Optimizer (DO) algorithm developed in [2] [3] for VOD applications. In parallel, the new video codec enhancer LCEVC (Low Complexity Enhancement Video Coding) [4], designed to provide gains in speed-quality trade-offs, has recently been standardized as MPEG-5 Part 2. The core idea of LCEVC is to use any video coding standard (such as AV1) as a base encoder at a lower resolution, and then reduce artifacts and reconstruct a full resolution output by combining the decoded low-resolution output with up to two low-complexity reconstruction enhancement sub-layers of the residual data. This paper starts by applying LCEVC to SVT-AV1 [5], as well as x264 [6] and x265 [7], while using two of the approaches presented in [1] to evaluate the resulting compression efficiency vs cycles trade-offs. The paper then discusses the benefits of LCEVC towards higher playback speed and lower battery power consumption when using AV1 software decoding. Results show that, with fast-encoding parameter selection using the discrete convex hull methodology, LCEVC improves the quality-cycles trade-offs for all the tested codecs and across the full complexity range. In the case of SVT-AV1, LCEVC yields a ~40% reduction in computations while achieving the same quality levels according to VMAF_NEG [8]. LCEVC also enlarges the set of mobile devices capable of playing HD as well as high-frame-rate content encoded with AV1 and extends mobile battery life by up to 50% with respect to state-of-the-art AV1 software decoding.
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