计算机工程2016，Vol.42Issue(12)：314-320,7.DOI:10.3969/j.issn.1000-3428.2016.12.053
多路高清YUV视频GPU实时拼接研究
Research on GPU Real-time Stitching of Multi-channel High-definition YUV Video
摘要
Abstract
To improve the real-time performance of high-definition video stitching,a stitching method of GPU-based real-time multi-channel high-definition YUV video is proposed.Firstly,the perspective model of YUV422 image stitching is deduced,and then parallel optimization of the stitching steps including perspective warping and image blending are realized and performed on GPU by Compute Unified Device Architecture(CUDA)technology.The experimental results show that,on the condition of implementing four-channel 1080p video stitching,the method in this paper achieves 20%~40% improvement in real-time performance over RGB color model-based stitching method on different GPU,and video frame rate of 33 frame per second on GTX 780.关键词
视频拼接/YUV颜色模型/透视模型/图形处理器/计算统一设备架构Key words
video stitching/YUV color model/perspective model/Graphics Processing Unit(GPU)/Compute Unified Device Architecture(CUDA)分类
信息技术与安全科学引用本文复制引用
王震,许晓航,王静,李圣,郑宏..多路高清YUV视频GPU实时拼接研究[J].计算机工程,2016,42(12):314-320,7.基金项目
国家"973"计划项目(2012CB719905). （2012CB719905）
