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Multiple Layer Parallel Motion Estimation on GPU for High Efficiency Video Coding (HEVC)
Luo, Falei ; Ma, Siwei ; Ma, Juncheng ; Qi, Honggang ; Su, Li ; Gao, Wen
2015
关键词HEVC GPU CUDA ME parallelization
英文摘要This paper provides a multiple-layer parallel motion estimation (ME) scheme implemented on GPU for High Efficiency Video Coding (HEVC). The scheme is hierarchically structured, including four layers: coding tree unit (CTU), prediction unit (PU), motion vector (MV) selection and instruction optimization. In PU-layer, costs of various PU sizes were obtained through a SAD (sum of absolute differences) look-up table instead of progressive cost merging. And during MV selection, GPU's comparison instruction was used to avoid branches. At the same time, concurrent CTUs processing and SIMD (Single Instruction, Multiple Data) optimization also improve the performance significantly. Experimental results show that the proposed scheme can take full advantage of GPU and achieves over 90 times speedup compared with the HM10.0 using fast ME.; EI; CPCI-S(ISTP); falei.luo@vipl.ict.ac.cn; swma@pku.edu.cn; jcma@pku.edu.cn; hgqi@ucas.ac.cn; suli@ucas.ac.cn; wgao@pku.edu.cn; 1122-1125; 2015-July
语种英语
出处2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
DOI标识10.1109/ISCAS.2015.7168835
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/423622]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Luo, Falei,Ma, Siwei,Ma, Juncheng,et al. Multiple Layer Parallel Motion Estimation on GPU for High Efficiency Video Coding (HEVC). 2015-01-01.
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