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Efficient H.264/AVC software CAVLC decoder based on level length extraction

机译:基于电平长度提取的高效H.264 / AVC软件CAVLC解码器

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摘要

This paper presents a proposal for an efficient software CAVLC decoder architecture in H.264/AVC based on level length extraction (LLE). Especially, level-decoding in a CAVLC decoder is addressed. Its features are summarized in two parts: higher efficient pipeline processing of level decoding, and simultaneous multiple calculations of multiple level codes separated from level decoding loop using Single Instruction Multiple data (SIMD) instruction. The former is achieved by separating Level calculation from Level parsing based on the LLE scheme, and removing branch operations in the level decoding loop. These improve the pipelineprocessing efficiency. The latter removes Level calculation from the level decoding loop, and uses multiple Level calculations based on SIMD instruction. The proposed schemes emphasize the software architecture. They are therefore applicable to general computers. Consequently, they can also be integrated with other CAVLC opimization schemes for CoeffToken, TotalZeros, and RunBefore syntax elements. Based on results of evaluation experiments, we confirmed that the improved pipeline processing achieved 22% faster decoding speed compared with the conventional method, which used only the LLE scheme. The SIMD-based Level calculation also achieved a 38% faster decoder than before by integrating with the former part.
机译:本文提出了一种基于水平长度提取(LLE)的H.264 / AVC中高效软件CAVLC解码器架构的建议。特别地,解决了CAVLC解码器中的电平解码。它的功能分为两个部分:高效的级别解码流水线处理,以及使用单指令多数据(SIMD)指令从级别解码循环分离出的多个级别代码的同时多次计算。前者是通过基于LLE方案将Level计算与Level解析分离,并在level解码循环中删除分支操作来实现的。这些提高了管道处理效率。后者从级别解码循环中删除了级别计算,并基于SIMD指令使用了多个级别计算。提出的方案强调软件体系结构。因此它们适用于通用计算机。因此,它们还可以与针对CoeffToken,TotalZeros和RunBefore语法元素的其他CAVLC优化方案集成。根据评估实验的结果,我们确认,与仅使用LLE方案的常规方法相比,改进的流水线处理实现了22%的更快解码速度。通过与前一部分集成,基于SIMD的电平计算还比以前快38%。

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