OPT OpenIR  > 飞行器光学成像与测量技术研究室
Real time H.264 high definition videos encoding based on TMS320DM368 and a video quality evaluation framework
Hao, Fusheng1,2; Huang, Jijiang2; Wei, Liu2; Wang, Yanan1,2; Yang, Hongtao2; Cao, Jianzhong2
2016
会议名称2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
会议录名称Proceedings of 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2016
页码128-132
会议日期2016-10-03
会议地点Xi'an, China
出版者Institute of Electrical and Electronics Engineers Inc.
产权排序1
摘要

This paper presents a framework for evaluating quality of video encoding algorithms. This technique works by collecting source videos, encoding the source videos with a given algorithm, and decoding the compressed sequences. The decoded video shall be measured with the original sources in a specific evaluation method and feedback to the algorithm. Under the guidance of this framework, an implementation based on embedded device is achieved. Firstly, we collect test source videos in two ways: the commonly used standard sequences and actual scenes captured by camera. Secondly, a popular video encoding standard, H.264, is realized on TMS320DM368, a digital media system-on-chip produced by TEXAS INSTRUMENTS (TI). Finally, peak signal-to-noise ratio (PSNR) is implemented and computed among different test sequences. In the experiments, we achieve the real time compression of high definition videos with an acceptable PSNR. The video quality framework also can be easily extended to other encoding algorithms. © 2016 IEEE.

作者部门动态光学成像研究室
DOI10.1109/IMCEC.2016.7867186
收录类别EI ; ISTP
ISBN号9781467396127
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/28774
专题飞行器光学成像与测量技术研究室
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China
推荐引用方式
GB/T 7714
Hao, Fusheng,Huang, Jijiang,Wei, Liu,et al. Real time H.264 high definition videos encoding based on TMS320DM368 and a video quality evaluation framework[C]:Institute of Electrical and Electronics Engineers Inc.,2016:128-132.
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